Jobs Posted on the Whova Community Board of Conference on Neural Information Processing Systems (NeurIPS 2024)
If you know anyone in the job market, feel free to share with them
PhD in Algorithmic Fairness at TU Eindhoven
TU Eindhoven PhD opportunity in Algorithmic Fairness and Recommender Systems at Tu/Eindhoven in the Control Systems group of the Electrical Engineering Department.
Goal: develope new en... gineering solutions and their mathematical foundations to enhance fairness, reliability, transparency in automated decision making systems, such as recommender systems.
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Remote Research Internship Opportunities at UIUC ScaleML Lab
UIUC UIUC ScaleML Lab (https://tongzhang-ml.org/) covers a wide of range of research topics, including machine learning theory, optimization, generative models, reinforcement learning....
Specifically, the topics include
1. Large-scale language model/agent design, training and inference 2. Multimodal models 3. Optimization theory, algorithms and applications 4. Prompt optimization 5. Generalization algorithms and applications 6. Other topics
University of Macau I’m looking to hire PhD students with a focus on RL and robotics
Link:...
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Internships (graduate student level) at Lawrence Livermore National Lab
Lawrence Livermore National Lab Applications for the DSSI internship program are open until Jan 31st. Apply in the link below, feel free to ask questions to me in person during the conference.
Senior Applied Scientist, LLM Code Agents (In-person, Santa Clara, CA)
AWS AI Labs We are seeking a Senior Applied Scientist to join our team in developing state-of-the-art large language models (LLMs) and intelligent code agents. This role involves driving inno... vation in natural language understanding, code generation, and AI-driven development environments. We are particularly interested in candidates with extensive industry experience in deep reinforcement learning (RL) and a proven track record of relevant publications, solving complex, real-world problems.
Applied Scientist, NGDE Science (In-person, Santa Clara, CA)
AWS AI Labs We are seeking an Applied Scientist to join our team in advancing the next generation of developer tools. This role focuses on leveraging machine learning and AI to innovate in ar... eas such as intelligent code generation, software understanding, and developer productivity. We are particularly interested in candidates with strong backgrounds in natural language processing (NLP), machine learning, and experience applying these techniques to real-world systems.
Note: I am attending NeurIPS virtually and may not be able to respond to messages on Whova. To ensure I see your application, please email me at andeshm@amazon.com with the subject line: "Applied Scientist, NGDE Science" and include a concise paragraph about your fit for the role. Thank you for your understanding!
Link:https://www.amazon.jobs/en/jobs/2703313/applied-scientist-ngde-scienceSee More >>
Applied Scientist（3D Generation）
Stealth Startup if ( $AI_passion && $AI_3D_specialist && $AI_entrepreneurial_spirit ) { $opportunity = ”Work with a top-tier startup“; $contact... = ”Add WeChat: 812023467“; } // Founded by creators of billion-DAU products. // Join us to explore the intersection of creativity, AI, and e-commerce!
Link:
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Machine Learning Engineer
OnDeck Fisheries AI OnDeck Fisheries AI is building a future where people can get information out of imagery at scale without building their own ML models. Collaborating with users around the world, ... our AI research and products change how people monitor and protect our oceans.
Backed by National Geographic, the Environmental Defense Fund, Canada’s Ocean Supercluster, and many more, we stand at the forefront of AI for ocean conservation & protection. Our software has been deployed by governments, Indigenous nations, scientists, NGOs, and industry around the world.
Your Work: We’re excited to be pushing the boundaries of what is possible in computer vision: creating systems that can detect objects never before seen in training (by using external knowledge) and searching for anything in thousands of hours of video footage with natural language search.
This means on top of improving our regular vision methods and engineering ML and data pipelines, you’ll get to work on cutting-edge open-domain vision methods and even contribute to original research and papers submitted to conferences. Your responsibilities will encompass: - Developing state-of-the-art machine learning models that can reason about visual data and retrieve relevant answers from external knowledge sources. - ML engineering of systems that ingest large volumes of visual data, and allow finding complex sequences of events or objects never seen in training data. - Working on the entire ML lifecycle, from conducting research and developing innovative models to productionizing them and quantifying their real-world improvements. - Contributing to automated model lifecycle management, which takes models to production, handling large volumes of video footage while undergoing updates smoothly.
Link:https://www.ondeck.fish/job-listing/machine-learning-engineerSee More >>
Machine Learning Researcher
OnDeck Fisheries AI OnDeck Fisheries AI is building a future where people can get information out of imagery at scale without building their own ML models. Collaborating with users around the world, ... our AI research and products change how people monitor and protect our oceans.
Backed by National Geographic, the Environmental Defense Fund, Canada’s Ocean Supercluster, and many more, we stand at the forefront of AI for ocean conservation & protection. Our software has been deployed by governments, Indigenous nations, scientists, NGOs, and industry around the world.
Your Work: We’re excited to be pushing the boundaries of what is possible in computer vision: creating grounded visual reasoning & fine-grained classification, and searching for anything in thousands of hours of video footage with natural language search. What you’ll be doing is extending our NeurIPS workshop paper across several domains (underwater, satellite, and more), scaling it to thousands of classes, and bridging the gap between video understanding models and our methods. We’ll provide the dedicated cloud GPUs and research autonomy for you to keep pushing the boundaries of visual reasoning.
You’ll have the opportunity to work alongside our engineering team to bring this applied research into reality, watching as your research turns into real products in just a few weeks. And you’ll get to publish to conferences and journals too.
Link:https://www.ondeck.fish/job-listing/machine-learning-researcherSee More >>
Research Intern (LLM & VLM Security and Trustworthiness)
Parameter Lab Duration: January - April 2025
Overview Parameter Lab seeks a highly motivated research intern to contribute to cutting-edge research in large language models (LLM) ... and vision-language models (VLM) with a focus on security and trustworthiness. The goal is to prepare a submission for a top-tier AI conference by April 2025. This internship offers the opportunity to work closely with a research-driven team dedicated to advancing AI reliability and safety.
Responsibilities - Conduct research on security issues and trustworthiness of LLMs and VLMs - Collaborate with team members on experimental design, data analysis, and model evaluation - Document findings, prepare reports, and contribute to conference paper drafting - Present and discuss research progress regularly with the Parameter Lab team
Requirements - Master’s degree in a relevant field (e.g., AI, Machine Learning, Computer Science) - Strong research background in AI or related domains - Excellent communication and collaboration skills - Experience with LLMs, VLMs, or model trustworthiness is advantageous
Preferred Qualifications - Proven track record of publications in reputable AI/ML conferences
Why Join Us? Parameter Lab (https://researchtrend.ai/organizations/parameter-lab) is committed to fostering innovation in scalable, trustworthy AI. As an intern, you’ll engage in research with real-world impact, supported by a collaborative team in an inspiring research environment in Tübingen.
Postdoctoral Fellow Position in AI for Psychiatry: LLMs and Multimodal Foundation Models
Stanford University The Stanford Translational AI (STAI) in Medicine and Mental Health Lab (PI: Dr. Ehsan Adeli, https://stanford.edu/~eadeli) invites applications for a Postdoctoral Fellow to join o... ur team. This position offers an exciting opportunity to work at the intersection of AI and mental health, utilizing advanced large language models (LLMs) and multimodal foundation models to address critical challenges in psychiatry.
Position Overview The fellow will work closely with our multidisciplinary team to develop and apply AI models that combine insights from text, image, and behavioral data, contributing to groundbreaking work in psychiatric research and clinical application. This role will be instrumental in advancing our understanding and treatment of mental health conditions through innovative AI approaches.
Responsibilities
Lead projects focused on applying LLMs and multimodal models to support psychiatric diagnosis, prognosis, and treatment personalization. Design and implement novel algorithms that integrate multimodal data sources such as clinical text, images, and video data for mental health assessment. Collaborate with clinical experts and research scientists to translate AI models into impactful tools for psychiatric care. Drive the publication of high-quality research in top AI and healthcare journals and conferences.
Isomorphic Labs We are looking for engineers with all levels of experience.
Please apply through the link attached! Isomorphic Labs is a new Alphabet company that is reimagining drug d... iscovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
Your impact
This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it.
Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution.
Link:https://job-boards.greenhouse.io/nx5j6ba7z1p2ujjnx5j6ba7z1p2ujj/jobs/5378895004See More >>
Staff Machine Learning Engineer (Virtual Agents)
Cresta Cresta is looking for Staff Machine Learning Engineers to take AI Agents from the realm of research into practical, real-world use cases (among other applications). See the link f... or more details or to apply, or connect with a Cresta attendee to learn more.
Link:https://job-boards.greenhouse.io/cresta/jobs/4249943008See More >>
Machine Learning Research Scientist (various)
Nuro Nuro is actively hiring for many roles including: - Machine Learning Research Scientist, Active Learning - Machine Learning Research Scientist, Behavior Planning and Predict... ion - Machine Learning Research Scientist: Generative Models for Behavior Modeling - Machine Learning Research Scientist, LLM - Machine Learning Research Scientist, Retrieval & Search
GenAI+Materials+Climate Startup founded by Top Berkeley Faculty Early-stage startup at the intersection of Generative AI, Materials Science, and Climate, founded by leading UC Berkeley Faculty Matei Zaharia, Fernando Perez, Jennifer Chayes, Ch... ristian Borgs, Omar Yaghi, and Bingqing Cheng.
Seeking a founding Machine Learning Engineer to develop an integrated GenAI platform in collaboration with computational and experimental chemists, as well as initial MVP customers.
Link:https://www.aimatx.ai/careersSee More >>
Computational Chemist
GenAI+Materials+Climate Startup founded by Top Berkeley Faculty Early-stage startup at the intersection of GenAI, Materials Science, and Climate, founded by renowned UC Berkeley faculty Omar Yaghi, Bingqing Cheng, Matei Zaharia, Fernando Perez... , Christian Borgs, and Jennifer Chayes.
Seeking a computational chemist with expertise in materials property prediction and prior experience in machine learning.
Link:https://www.aimatx.ai/careersSee More >>
Lead Product Manager
Meta Discriminative & Generative AI Ads Privacy Come help drive $B impact while driving state of art research to production at the largest scale.
... Link:
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Tenure-Track and Tenured Faculty Positions at INSAIT
INSAIT The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), created in partnership with Switzerland’s ETH Zurich and EPFL, is seeking candidates for facul... ty positions starting immediately or on a mutually agreed date thereafter.
Founded in 2022, INSAIT’s mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD students. The institute has also published at most major AI-related conferences including CVPR, NeurIPS, EMNLP, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities, computational resources, competitive packages, and salaries.
We welcome excellent faculty applicants in all areas of computer science and artificial intelligence, both tenure-track faculty and tenured researchers. Faculty duties include graduate student supervision and teaching graduate-level courses.
Eligibility requirements:
- A PhD degree in computer science or closely related fields by the start of the position
- Demonstrated ability to pursue a strong and independent research program
Application materials:
- A curriculum vitae (CV)
- A research statement (up to 5 pages)
- A teaching statement (up to 2 pages)
- The names and email addresses of three or more referees.
Application deadline: Applications received by January 30th, 2025, will be assured full consideration; however, we will continue accepting applications until the positions are filled.
We’re excited to be at this year’s NeurIPS in Vancouver! Visit Booth No. 47 to connect with our team and explore how you can contribute to advancing AI research.
Link:https://insait.ai/faculty/See More >>
Postdoctoral Positions at INSAIT
INSAIT The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), created in partnership with Switzerland’s ETH Zurich and EPFL, is inviting applications for po... stdoctoral positions in computer science and artificial intelligence starting immediately, or on a mutually agreed date thereafter.
Founded in 2022, INSAIT’s mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD students. The institute has also published at most major AI-related conferences including CVPR, NeurIPS, EMNLP, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in areas like programming languages, algorithms, and theory.INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities, computational resources, competitive packages, and salaries.
We welcome all excellent candidates with a strong academic background who are passionate about conducting cutting-edge research in the general fields of AI and computer science.
At INSAIT, you will benefit from:
- World-class research opportunities in areas such as computer vision, foundational models, safe and secure AI, robotics, quantum computing, algorithms and theory, verification, and many others. - Outstanding working conditions and competitive compensation of €60,000+ gross per year and a flat income tax rate of 10%. - Rolling selection process with applications accepted year-round.
Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical engineering.
Application materials: - CV - Degree certificates - The names and email addresses of two or more referees.
We’re excited to be at this year’s NeurIPS! Visit Booth #47 to connect with our team and explore how you can contribute to advancing AI research.
Link:https://insait.ai/post-doc-at-insait/See More >>
PhD/postdoc: physics and engineering of cognitive systems
University of Marburg we work at the intersection of dynamical systems, AI, neuroimaging, and mental health. The main direction of the lab and these positions are to develop models of psychological/neu... ral (fMRI) patterns over extended periods of time and mechasim of interventions (e.g. neurostimulation) for patients. More info on our website: psycontrol-lab.de Link:psycontrol-lab.deSee More >>
PhD Positions at INSAIT
INSAIT The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, is inviting applications for doctoral positi... ons in computer science and AI, offering full 5-year fellowships.
Founded in 2022, INSAIT’s mission is to become a world-class computer science and AI research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD students. The institute has also published at most major AI-related conferences including CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top US and European research institutions and provides exceptional working conditions in terms of facilities, computational resources, competitive packages, and salaries.
We welcome outstanding candidates with a strong academic background passionate about AI and computer science research.
At INSAIT, you will benefit from:
- World-class research opportunities in areas such as computer vision, foundational models, safe and secure AI, robotics, quantum computing, algorithms, and many others.
- Mentorship from renowned professors, previously at CMU, ETH Zurich, Stanford, and others.
- Outstanding working conditions and a competitive compensation of nearly €40,000 gross per year and a flat income tax rate of 10%.
- Rolling admission process with applications accepted year-round.
Eligibility requirements:
Candidates should hold or be in the final year of completing a Master’s or Bachelor’s degree in computer science, data science, mathematics, physics, statistics, or electrical engineering.
Application materials:
- CV
- Degree certificates
- Motivation Letter
- Two Recommendation letters (optional)
We’re excited to be at this year’s NeurIPS in Vancouver! Visit Booth #47 to connect with our team and explore how you can contribute to advancing AI research.
Link:https://insait.ai/phd/See More >>
Pocket FM About Pocket FM Pocket FM is revolutionizing audio entertainment through personalized, immersive storytelling supported by cutting-edge AI. Our platform engages millions of global... listeners, generating billions of minutes of content consumption monthly. Leveraging expertise in Generative AI—including LLMs, diffusion models, and multimodal systems—we innovate across text, audio, image, and video. With rapid user growth and strong backing, Pocket FM is an exciting place to launch your career in AI. About the Role We are looking for a Research Scientist Intern to contribute to innovation in multimedia content generation, focusing on generative models for image and video. In this role, you will design and implement text-to-image algorithms, explore auto-regressive transformers, and work on multimodal storytelling models across video, image, comics, and audio. You’ll collaborate with a world-class engineering team to refine content creation processes and gain hands-on experience in cutting-edge AI research. Key Responsibilities * Assist in research projects focused on image and video generative models. * Design and test text-to-image algorithms using diffusion models and transformers. * Train and fine-tune multimodal AI models across video, image, text, and audio. * Support the development of innovative algorithms to improve content creation and adaptation. * Implement fine-tuning pipelines with techniques like RLHF, DPO, and LoRA. * Ensure quality and consistency of AI-generated content through testing and evaluation. * Contribute to research publications in top-tier AI conferences and journals. Qualifications * Currently pursuing a Master’s or PhD in Computer Science, Machine Learning, or a related field. * Proficiency in Python and familiarity with deep learning frameworks like PyTorch. * Knowledge of computer vision and generative models (diffusion models, transformers). * Familiarity with fine-tuning techniques, reinforcement learning, and multimodal AI.
Link:https://www.linkedin.com/jobs/view/4079110495See More >>
Research Scientist - Generative AI (Image and Video)
Pocket FM About Pocket FM Pocket FM is at the forefront of audio entertainment, delivering personalized, immersive storytelling powered by cutting-edge AI. With millions of global listeners... and billions of minutes of engagement monthly, we leverage advanced Generative AI techniques—including diffusion models, large language models (LLMs), and multimodal systems—to innovate across text, audio, image, and video. Join us to pioneer AI-driven content creation in a rapidly growing, high-impact environment.
About the Role We are seeking a Research Scientist to lead innovation in image and video generative models. Your primary focus will be designing and implementing state-of-the-art diffusion models and exploring auto-regressive transformers to create high-quality, culturally relevant storytelling across multiple modalities. You will also contribute to Pocket FM’s growing multimedia ecosystem, including video, image, comics, and audio, collaborating with a world-class engineering team to push the boundaries of Generative AI.
Key Responsibilities * Conduct advanced research in computer vision, specializing in image and video generative models. * Design and implement diffusion-based text-to-image algorithms and explore other transformer-based architectures. * Develop and fine-tune multimodal models for video, image, text, and audio integration. * Create innovative algorithms to enhance global content creation and cultural adaptation. * Ensure the quality of AI-generated content through rigorous evaluation and testing. * Publish findings in top-tier AI conferences and journals to contribute to the field.
Qualifications * PhD in Computer Science, Machine Learning, or a related field. * Proficiency in Python and experience with deep learning frameworks like PyTorch. * Expertise in diffusion models, transformers, and generative AI for image and video. * Familiarity with multimodal AI and content creation processes. * Proven track record of peer-reviewed publications in relevant fields
Link:pocketfm.comSee More >>
BIDMaP Postdoctoral Scholars
UC Berkeley The Bakar Institute of Digital Materials for the Planet (BIDMaP) at UC Berkeley, is bringing together machine learning and data science with the natural sciences to address o... ne of society’s most urgent challenges: climate change. BIDMaP is focused on developing new techniques in machine learning that will enhance and accelerate discovery in experimental natural sciences and development of novel materials to address climate change. BIDMaP promotes collaboration between world-renowned AI/ML experts and chemists, as well as other physical scientists, to exploit the vast potential held in modular materials such as metal organic frameworks (MOFs) for clean air, clean energy, and clean water.
Eligibility Candidates should have one of the following academic training and research profiles: 1. Computing/statistics/AI/ML training, and eagerness to work with experimentalists to enable new discoveries; or 2. Basic science training in chemistry, physics, biological sciences, or materials science, and eagerness to work with machine learning researchers to accelerate laboratory discovery with new computational techniques. Fellows will be mentored by UC Berkeley faculty either in computing/statistics/AI/ML or in basic natural sciences.
The BIDMaP Postdoctoral Fellowship is designed to attract exceptional early-career scientists, with a doctoral degree awarded roughly between June, 2022 and July, 2025. Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Successful candidates for our academic positions should demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.
Nexa AI Responsibilities: Create datasets for potential, powerful capabilities of language models such as function calling and reflection Build tooling and infrastructure to enable ... efficient fine-tuning experiments on language models Help develop new methods or novel fine-tuning techniques to improve language model behaviors Run experiments that feed into key AI research
You may be a good fit if you: Have at least 1 research project related to machine learning in which you played a major role Significant Python, machine learning, research experience Are results-oriented, with a bias towards urgency, impact, and flexibility Be familiar with C or C++
Orbifold AI About Orbifold AI We are backed by well-known Silicon Valley VCs. At Orbifold AI, we are pioneering the next generation of data curation for enterprise-grade AI applications. O... ur mission is to transform raw, multimodal data—spanning text, images, and video—into high-quality, optimized datasets ready for the training and deployment of cutting-edge visual and language models. The Data Curation team is central to this mission, managing the entire pipeline from data ingestion and processing to quality refinement and augmentation.
Responsibilities ● Develop, implement, and maintain data pipelines operating at internet scale, processing large, multimodal datasets including images, text, and videos. ● Collaborate with the Data Acquisition and Research teams to integrate the latest research methods into data curation pipelines, ensuring high standards of data diversity, accuracy, and relevance. ● Innovate and experiment with new data curation techniques to maximize the quality and efficiency of datasets for training advanced visual models. ● Continuously improve data processing infrastructure to support scalability and flexibility as models and data requirements evolve.
Preferred Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field; PhD preferred but not required. ● Proficiency in Python and experience with data processing frameworks (e.g., Spark, Hadoop, Dask) for handling large datasets. ● Solid understanding of distributed computing and experience working with large-scale, high-throughput systems. ● Hands-on experience with visual data (e.g., computer vision, image processing) and multimodal model training. ● Familiarity with deep learning frameworks such as PyTorch or TensorFlow, especially for handling multimodal data in model training. ● Strong interest in large-scale visual model research and comfort working in a rapidly evolving, dynamic environment.
Link:
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Senior Data Scientist
Jampp Join Jampp, a leader in mobile advertising, where we process 2.5M+ ad requests per second and 300TB of data daily to empower app businesses worldwide. As a Data Scientist, you’ll ... refine real-time machine learning models, analyze performance metrics, and deploy impactful solutions using Python. With a focus on large-scale challenges like optimization, causal inference, and graph mining, this role offers the opportunity to innovate, collaborate, and drive measurable results in a dynamic, remote-first environment.
Link:https://www.jampp.com/career?gh_jid=5534775See More >>
Applied Scientist, Financial Insights
Amazon Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and LLMs to solve real-world problems fac... ed by accountants and financial analysts.
We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data.
Link:https://amazon.jobs/en/jobs/2827543/applied-scientist-financial-insights-and-actionsSee More >>
Research Scientist - Mechanistic Interpretability
Goodfire We are looking for a Founding Research Scientist to join our team and help develop robust, scalable systems for deploying interpretability techniques on large AI models. You will ... collaborate closely with our research team to translate novel interpretability methods into production-ready tools and work on scaling our infrastructure to handle increasingly large models and complex use cases.
Core responsibilities: - Conduct impactful research in the fields of mechanistic interpretability and model editing. - Develop novel techniques and algorithms for extracting, analyzing, visualizing, and manipulating the internal representations and decision-making processes of large AI models - Collaborate with our engineering team to design and implement scalable, robust systems for applying interpretability and model editing techniques at scale - Publish research findings in top-tier AI/ML conferences and journals, and present work at industry events and workshops - Mentor and guide more junior research team members, fostering a culture of innovation, rigor, and collaboration - Stay up-to-date with the latest developments in AI interpretability and model editing research, and contribute to the broader scientific community through open-source projects and community initiatives
Link:https://job-boards.greenhouse.io/goodfire/jobs/4080525008See More >>
Job Application for AI Developers/Researchers
RELAI We are seeking talented AI developers and researchers to join RELAI (relai.ai), a company dedicated to advancing AI reliability led by Dr. Soheil Feizi.
Position Type: Ful... l-time or Intern Compensation: Paid Location: Remote/Virtual Start Date: Flexible Join us to work on exciting projects on reliability of AI models, contributing to a project at the forefront of AI advancements.
Link:
None
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Founding AI Engineer
Solve Intelligence 🏗️ About the role
We are looking for super-talented founding AI engineers to help us build state-of-the-art AI algorithms and products extremely fast. You’ll be joining th... e most lean, talent-dense, and fast-moving engineering team in London.
You’ll be responsible for:
Developing production-ready AI algorithms. We have developed proprietary algorithms which greatly increase the quality of generated patents. You will be leading the development of new and improved algorithms to push the envelope of what is possible with large language models.
Building a state-of-the-art evaluation pipeline. A robust evaluation pipeline ensures that AI outputs are high quality and objectively steers the direction of our R&D team. You will be leading the development of this pipeline and benchmarking the performance of Solve’s proprietary algorithms on large datasets.
LLM prompt engineering. Research and implement state-of-the-art prompting methods to maximise the efficacy of our LLM models and algorithms.
Captura / Skylab Technologies inc. At Captura Intelligence, we’re redefining the future of photography technology through cutting-edge machine learning and computer vision solutions. Originally founded as Skylab Te... chnologies Inc., our team was acquired by ImageQuix and has since evolved into Captura, operating from the vibrant tech hubs of Raleigh, NC, and Vancouver, BC.
Job Responsibilities
- Lead research and development projects in machine learning and computer vision. - Design, implement, and evaluate advanced algorithms and models. - Collaborate with cross-functional teams to integrate solutions into products. - Mentor junior researchers and provide technical guidance. - Stay up-to-date with the latest advancements in the field to drive innovation. - Contribute to the research and development of new and existing AI-powered products. - Quickly prototype a variety of machine learning algorithms to assess their potential and applicability to our projects. - Design, run, and analyze experiments, evaluating performance metrics and reporting results to stakeholders.
Link:https://www.skylabtech.aiSee More >>
Machine Learning Engineer Intern
Milwaukee Tool We are looking for a Machine Learning Engineer Intern who is eager to apply their ML skillset in a hands-on engineering environment. Our ideal candidate is a self-starter, comfort... able in a prototyping laboratory, and motivated to find problems to solve. The data you’ll be leveraging for ML is being created in that same hands-on lab by equipment, machines, and sensors that are all used in the development of new products for Milwaukee Tool.
You will be working in a collaborative setting alongside full-time engineers across a variety of disciplines (EE, ME, Robotics, MLE), who lead the research and development of emergent technologies. This group is obsessed with integrating cutting edge of technology to our business to drive new product innovation.
Technical Requirements - Capable of leveraging Cloud based technologies (Azure preferred). - Proficient in Python, SQL, or similar languages. - Comfortable in a hands-on engineering lab. - Experience developing with Keras, TensorFlow, PyTorch, or similar.
Ataraxis AI Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physic... ians in selecting the most optimal treatments for their patients. We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.
At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission. We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.
Link:https://jobs.ashbyhq.com/ataraxis-ai/c4d4b572-cd78-4df9-a12d-24bd86deee67See More >>
esearch Scientist, Pretraining and Scaling (PhD)
Ataraxis AI Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physic... ians in selecting the most optimal treatments for their patients.
We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.
At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission. We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.
Link:https://jobs.ashbyhq.com/ataraxis-ai/705bf56c-83db-49ad-bf06-255a0296ec15See More >>
Senior Machine Learning Researcher
AKASA As a Senior Machine Learning Researcher at AKASA, you’ll play a crucial role in pioneering advanced AI solutions that are transforming healthcare. You’ll collaborate closely with ... a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles.
At AKASA, our research and development balance cutting-edge LLM innovation with practical impact on healthcare operations. You’ll contribute to developing and adapting advanced language models, including pretraining and fine-tuning work on architectures like Llama. In this role, you’ll work end-to-end on model design, data creation, training, evaluation, and iteration, ensuring that your research advances not only our models but also the real-world tasks they support. You’ll have the opportunity to influence new research directions, support high-impact publications, and contribute directly to AKASA’s product offerings, bringing your work to life in tools used across healthcare systems.
This is a US-based remote position with significant opportunities to impact healthcare through rigorous ML research and product innovation. We welcome candidates eager to advance AI’s role in healthcare within a collaborative, mission-driven environment.
Link:https://akasa.com/careers/?ashby_jid=b9dbe447-11be-4f9f-9171-aa3f3a08b8d7See More >>
Sr. Applied Scientist - Motion Planning with ML, Amazon Robotics
Amazon We are seeking an experienced Senior Applied Scientist to advance the state of the art in ML-based planning for robotic workcells in Amazon Fulfillment centers. In this role, you ... will work across multiple teams to develop the next generation of robots which can be applied to a variety of use cases. Your solutions will allow Amazon to increase productivity and efficiency while prioritizing employee safety.
Link:https://www.amazon.jobs/en/jobs/2818820/sr-applied-scientist-motion-planning-with-ml-amazon-roboticsSee More >>
Senior Applied Scientist, Fulfillment Technologies and Robotics
Amazon Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing systems that process tens-of-millions of custom... er packages daily with the lowest cost to serve and a defect-free customer experience? Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience?
Your Deep Learning skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are looking for a talented Senior Applied Scientist to join our team. You will join a team of Scientists and Machine Learning Engineers (MLEs) to directly improve the packaging experience of Amazon customers in the fulfillment technology space. The team consists of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI who work together to break new ground in the world of automated packaging solutions.
You'll work in a collaborative environment where you will deploy and scale ML solutions to peta-bytes of data, work on problems that haven’t been solved before, and understand whether they succeed via statistically relevant experiments across millions of customers. You'll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics, computer vision, machine learning, big data, and building scalable solutions, this role is for you. The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 5+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement.
Link:https://www.amazon.jobs/en/jobs/2817740/senior-applied-scientist-fulfillment-technologies-and-roboticsSee More >>
Senior Applied Scientist - Planning and Controls, Amazon Robotics
Amazon We are seeking an Applied Scientist to develop innovative and scalable solutions in motion planning and feedback controls for complex robotic systems. In this role, you will take ... responsibility for developing robot physics models, performing analysis, and devising and implementing algorithms for the control and estimation of robotic systems. You will collaborate with a world-class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real-world problems.
As part of your work, you will investigate applicable academic and industry research to develop, implement, and test solutions that support product features. You will also design and validate production designs. To succeed in this role, you should demonstrate a strong working knowledge of physical systems, a desire to learn from new challenges, and the problem-solving and communication skills to work within a highly interactive and experienced team. Candidates must show a hands-on passion for their work and the ability to communicate their ideas and concepts both verbally and visually.
Research Scientist, Optimization, Planning and Task-Assignment, Amazon Robotics
Amazon The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve co... mplex scientific problems and see your solutions come to life in Amazon’s warehouses!
Key job responsibilities - Research design - How should solve a particular research problem - Research delivery - Proving/dis-proving strategies in offline data or in simulation - Production studies - Insights from production data or ad-hoc experimentation - Prototype implementation - Building key parts of algorithms or model prototypes
Amazon Amazon Tax Engine platform backs all of the orders placed across Amazon e-commerce. We serve Amazon customers and sellers by correctly computing and collecting the tax amounts whe... n an Amazon order is placed globally. We are responsible for correctly attributing products to the correct Tax categories applicable for the specific country, state and county, providing core calculation services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital. Our challenges include staying on top of the complex and ever-changing global tax legislations as well as computing calculations correctly and quickly, thousands of times a second, with accuracy close to 100%.
We use language models at scale for Tax classification of the diverse products in Amazon catalogue We have a growing portfolio of science problems that includes balance of predictive and generative AI -including language comprehension, causal reasoning and active learning.
Applied Scientist - Financial Insights and Actions
Amazon As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to pr... oduction. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Developing ML models or leveraging foundation models to produce proactive insights. - Leveraging LLMs to answer questions asked during month-close reconciliation research. - Run experiments over large datasets for new predictive learning approaches for financial analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborate with engineering to productionize research.
Amazon As an Applied scientist, you will provide machine learning leadership to the team that helps increase the accuracy of Tax classification based product information in Amazon catalo... gue making it the biggest and most challenging tax classification using Machine learning models globally. You will work with large language models, to build various machine learning models to predict accuracy of human's on specific tasks, reason with large volumes of systems changes to identify causal determinants, apply generative AI to model outcomes from sparse data. You will help us innovate different ways to enhance tax classification experience for our global customers. You will need to be entrepreneurial, work in a highly collaborative environment with SDEs, Product managers and businesses. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.
Link:https://www.amazon.jobs/en/jobs/2822893/snr-applied-scientist-tax-engineSee More >>
Deep Learning Engineer
Deeplite As a Deep Learning Engineer at Deeplite, you will work on cutting edge model compression and acceleration techniques to be deployed to tiny devices like MCUs/NPUs. We develop stat... e of the art pruning, compression, hardware aware optimization, quantization techniques and integrate these techniques to our tools like Neutrino and Quark.
Link:http://www.deeplite.aiSee More >>
Deep Learning Engineer - Model compression and acceleration
Deeplite Deeplite works on state of the art model compression and acceleration techniques that includes but not limited to decomposition, quantization, pruning, activation sparsity, token ... pruning, hardware aware NAS etc. We integrate these techniques in our tools like Neutrino/Quark. We also host one of the largest model studio for Edge devices (Deeplite Studio).
If these techniques excite you and you want to see these deep learning models getting deployed to small devices like MCUs and MPUs, please reach out to me to set up a meeting during the conference.
Link:http://www.deeplite.aiSee More >>
Target As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. You will play a cruc... ial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
About you: 4-year degree in Quantitative disciplines (STEM) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design Highly proficient programming in Python and either PySpark or Scala Experience with ML frameworks such as PyTorch, TensorFlow, XGBoost, sklearn, and ONNX Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker Experience using distributed training frameworks like Spark/Ray/TensorFlow Distributed Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI Good understanding of Big Data tech, specifically Hadoop, Kafka, Spark Experience creating and maintaining CI/CD pipelines for automated model deployment and testing Experience in mentoring the junior team members ML skillset and career development
ADIA Build predictive signals using the latest LLMs.
Link:... None
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Research Associate (Post-Doc)
TU Dresden / ScaDS.AI Center Research on mathematical foundations of Deep Learning within one of the following topics: (I) geometric methods and representations in machine learning with focus on hyperbolic... geometry, or (II) distributional properties of stochastic gradient descent (SGD); heavy-tailed distributions in SGD; relationship between distributional and generalization properties of SGD, approximation of SGD with stochastic differential equations.
Requirements: Doctorate in mathematics or in computer science with a theoretical-methodological focus; In-depth knowledge of linear algebra, mathematical geometry, stochastics and optimization and, if applicable, stochastic analysis is desirable; Curiosity and strong interest in rigorous, methodical basic research; very good programming skills, preferably in Python. Very good written and spoken English skills.
We offer: Integration into an interdisciplinary, active competence center for AI with locations in Dresden and Leipzig; Participation in scientific conferences; Opportunity to collaborate with international research partners; extensive range of continuing education and training; flexible arrangements for working hours and mobile working.
Join our team of a former Googler and a former AI founder to come and shape how knowledge exchange is reimagined.
We are looking for expertise in NLP, specially LLM Reasoning techniques (i.e CoT, ToT), Fine tuning (i.e LoRA) and RAG. Hands on knowledge on agentic orchestration frameworks like llama-index or langgraph is a plus.
Stony Brook University I am looking to recruit PhD students for Fall '25. I'm generally interested in lifelong learning, robotics, and reinforcement learning. If you'd be interested in working with me p... lease reach out to schedule a time to chat! I'll be around for workshops.
Link:https://jorge-a-mendez.github.io/See More >>
Researcher in Mechanistic Interpretability
krnel.ai Stealth NYC serial entrepreneurs (PhDs in ML, alumni of MIT, Princeton, Cornell, Google, Two Sigma, DataDog) building model explainability / MI tools for Security professionals. ... We are looking for strong AI Researcher / Engineer to help us build cutting edge next-gen security platform that redefines how we protect AI systems. You will be part of the early team and hence have high impact, building company, capabilities, and culture. Ideally NYC based, but open to remote for the right fit.
If this sounds like your kind of mission, let's connect.
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Data Scientist
NatWest Group NatWest Group is looking for a data scientist to advance applied AI and AI research within the financial services industry and improve the experiences of our 19 million customers....
What you'll do: As a Data Scientist, you'll be responsible for contributing to the development and execution of innovative AI and data science solutions for the bank's most pressing challenges. You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.
Your responsibilities will include: • Supporting the data science community of practice, staying informed in the field of applied AI and AI research • Communicating effectively with stakeholders, providing insights and recommendations based on your team's projects and findings • Participating in end-to-end project delivery, from ideation to production deployment, ensuring alignment with business objectives • Assisting in the identification and implementation of cutting-edge technologies, including advanced machine learning models and large language models, to deliver value through cost reduction, income generation, or improved customer experience
The skills you'll need: To excel in this role as a Data Scientist, you'll need a solid academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science, ideally with a MSc or PhD.
In addition, you'll demonstrate: • The ability to use data to solve business problems from hypotheses through to resolution • Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS SageMaker, PyTorch, TensorFlow, JAX, NumPy, scikit-learn, time-series forecasting, classification, regression, large-language models, and experimental design • Experience of using programming language and software engineering fundamentals • Effective communication skills with the ability to proactively engage with a wide range of stakeholders See More >>
Postdoctoral Researcher (2 years) - Efficient Fine-Tuning of Transformers
Computer Science Department University of Turin EIDOS Lab (University of Turin, Italy) invites applications for a two-years postdoctoral researcher position focusing on developing cutting-edge methods for efficient fine-tuning... of Large Vision-Language Models (LVLMs). This research will explore Low-Rank Adaptation (LoRA) combined with advanced pruning, quantization, and simplification techniques to address scalability and resource constraints challenges for real-world applications.
The position is funded by the European project DARE. The goal is to design novel methodologies for replacing fully connected layers of Transformers with lower-rank trainable matrices, enabling reduced parameter fine-tuning, faster inference, and enhanced model compressibility.
Qualifications: - Required: (i) PhD in Computer Science, Artificial Intelligence, Machine Learning or a related field. (ii) Strong background in deep learning, particularly with Transformer architectures. (iii) Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Preferred: (i) Experience with model optimization techniques such as pruning, quantization, or sparsity-based approaches. (ii) Experience in LoRA or other efficient fine-tuning methods. (iii) Strong publication record in top-tier conferences and journals.
Assist/Assoc Prof in Applied AI/NLP (multiple tenure track positions)
University of Warwick DCS at Warwick is one of the top CS departments in the UK (ranked joint 4th in REF2021 for its research excellence). As part of our long-term research strategy we are now looking ... for multiple talented colleagues in applied AI to join our vibrant and friendly dept.
For more details please contact Long Tran-Thanh (deputy head of dept) at the conference or on Whova.
Link:
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Research Resident / Research Scientist
Womp Labs About Womp Labs: - We are a research-first company working on algorithms to efficiently filter datasets, make targeted behavior changes, and optimize data selection to enable h... ighly accurate, domain-specific models. - We are backed by Nat Friedman, Daniel Gross and Ian Hogarth and collaborating on novel ideas with UIUC, CMU and WashU.
Responsibilities: - Implement, optimize and extend relevant research - Collaborate with engineering team on implementation / scaling - Collaborate with our academic partners on novel, fundamental research
Requirements: - excellent programming skills - proficiency in PyTorch, TensorFlow, or Jax - prior research in - dataset optimization - data poisoning - synthetic data generation - data attribution - subset selection
Nice to have: - PhD in quantitative discipline - publication(s) in top-tier journals (NeurIPS, ICML, ICLR, etc.) - experience with large-scale training
Perks - encouraged to publish results - paid conference attendance when presenting Womp Labs work - lots of GPUs - direct impact - if you find something that works, we will use it IMMEDIATELY
Link:
None
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Machine Learning/Computer Vision/Foundation Model Researcher at Brookhaven National Lab
Brookhaven National Laboratory We are actively recruiting talented professionals in the fields of machine learning, computer vision, and foundation models at various levels, including postdoc and researcher rol... es. If you‘re passionate about applying your expertise in these fields to drive impactful scientific research, please join us at:
Naptha AI AI Research Scientist (Multi-agent Systems) | https://naptha.ai
About the role We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor,... focusing on advancing the state of the art in multi-agent systems and agent interoperability. In this role, you will be responsible for researching and developing novel approaches to agent collaboration, coordination, and scalability. Working directly with our technical team, you will help shape the fundamental architecture of our agent interoperability platform.
This role is critical in solving core technical challenges around agent communication protocols, task delegation, and distributed intelligence. You will work at the intersection of multi-agent systems, machine learning, and distributed systems to develop practical solutions for real-world agent deployment and collaboration.
Link:https://naptha.ai/careers?ashby_jid=faa99213-56e7-494e-bf46-1e5902809023See More >>
Senior LLM Machine Learning Scientist
Multiverse Computing As a Senior LLM Machine Learning Scientist, you will join a world-class team of Quantum experts with an extensive track record in both academia and industry. Work with Fortu... ne-500 customers from government and private sectors.
Required Qualifications
Master’s degree in Artificial Intelligence, Computer Science, Data Science and related fields. 5+ years industry experience in similar roles. Strong background and hands-on experience with different ML technologies, especially natural language processing and large language models. Excellent programming skills in Python and experience with relevant libraries (TensorFlow, Scikit, Pandas, etc.) Experience using git, unit testing, and docker. Experience with cloud platforms (ideally AWS) Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively. Experience with distributed multi-node, multi-GPU training of LLMs Ability to work with a diverse team of people, both in-person and through online resources.
Preferred Qualifications Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields Research experience in the field of LLMs. Expertise in unsupervised machine learning time series. Experience training and deploying deep learning models on the Cloud Ability to work independently and hit the ground running.
Exceptional Qualifications
Knowledge of quantum physics / quantum computing.
Perks & Benefits
Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package and visa support (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting-edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
Link:multiversecomputing.comSee More >>
LLM/Generative AI Engineer
GenAI+Materials+Climate Startup founded by top Berkeley Faculty Early-stage startup at the intersection of Generative AI, Materials Science, and Climate, founded by leading UC Berkeley faculty Matei Zaharia, Fernando Perez, Jennifer Chayes, Ch... ristian Borgs, Omar Yaghi, and Bingqing Cheng.
Seeking a Machine Learning Engineer to develop an integrated GenAI platform in collaboration with computational and experimental chemists, as well as initial MVP customers.
Responsibilities: • Develop and optimize AI-driven solutions for materials discovery • Build and maintain scalable ML pipelines • Collaborate with computational chemistry team on algorithm development • Contribute to core product development and implementation
Required Qualifications: • M.S. or Ph.D. in Computer Science, Machine Learning, or related field • Strong Python programming skills • Experience with ML frameworks (PyTorch, TensorFlow) • Background in scientific computing and data analysis
What We Offer: • Competitive salary, equity package, and benefits • Opportunity to work on breakthrough scientific software • Collaborative research environment • Professional growth opportunities
ML Engineer, Foundation Model for Materials Science
GenAI+Materials+Climate Startup founded by top Berkeley Faculty Early-stage startup at the intersection of Generative AI, Materials Science, and Climate, founded by leading UC Berkeley faculty Matei Zaharia, Fernando Perez, Jennifer Chayes, Ch... ristian Borgs, Omar Yaghi, and Bingqing Cheng.
Seeking a Machine Learning Engineer to develop an integrated GenAI platform in collaboration with computational and experimental chemists, as well as initial MVP customers.
Responsibilities: • Develop and optimize AI-driven solutions for materials discovery • Build and maintain scalable ML pipelines • Collaborate with computational chemistry team on algorithm development • Contribute to core product development and implementation
Required Qualifications: • M.S. or Ph.D. in Computer Science, Machine Learning, or related field • Strong Python programming skills • Experience with ML frameworks (PyTorch, TensorFlow) • Background in scientific computing and data analysis
What We Offer: • Competitive salary, equity package, and benefits • Opportunity to work on breakthrough scientific software • Collaborative research environment • Professional growth opportunities
Top AI startups invested in by Notable Capital Highly curated program that gives fellows the opportunity to work at a top AI startup as well as access to an exclusive entrepreneurship crash course that will equip them to becom... e technical founders.
Hosted by Notable Capital, a global VC firm that invests heavily in infrastructure and AI.
Amazon The Artificial General Intelligence Data Service (AGI-DS) team is seeking a dedicated, skilled, and innovative Principal Applied Scientist with a robust background in deep learnin... g, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
A key aspect of your role will be to collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. You will have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology.
You will solicit diverse perspectives from across the organization, challenge assumptions, and remain open to changing your views as you learn more. Your technical artifacts and solutions will be exemplary, serving as references and models of excellence for the broader team. You will tackle intrinsically complex problems, acquiring new expertise as needed, and decomposing challenges into straightforward, elegant solutions.
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
Link:https://www.amazon.jobs/en/jobs/2815583/principal-applied-scientist-agi-data-servicesSee More >>
Principal Applied Scientist, AGI Foundations
Amazon As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context... to science and technology decisions.
You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.
You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.
You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.
Principal Applied Scientist, Artificial General Intelligence
Amazon The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and ... push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models.
As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.
Key job responsibilities - Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results - Develop deep learning models for compression, system optimization, and inference - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
Link:https://www.amazon.jobs/en/jobs/2682246/principal-applied-scientist-artificial-general-intelligenceSee More >>
Principal Applied Scientist, Conversational Assistant Modeling & Learning
Amazon The Alexa Conversational Assistants Services (CAS) org is looking for a Principal Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and La... rge Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. You will interact with a cross-functional team of science, product, and engineering leaders.
As a Principal Scientist within Alexa, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.
Link:https://www.amazon.jobs/en/jobs/2816604/principle-applied-scientist-conversational-assistant-modeling-learningSee More >>
Assistant or Associate Professor, Generative Artificial Intelligence
Harness the power of transformer model architectures to automatically identify emerging customer pain points in millions of call transcripts.
Fine-... tune large language models (LLMs) and large multi-modal models (LMMs) for extractive and abstractive tasks to search for complex evidence statements in unstructured, multi-page, documents images.
Manage large scale data annotation projects by guiding frontline agents to curate high quality datasets, delivering model improvements by proposing, managing, and monitoring improvements to data collection processes.
Work on a team of data scientists to build practical machine learning solutions through all phases of development, including designing, training, evaluating, and monitoring models.
Communicate frequently with business stakeholders, including everything from brainstorming verbiage to include in a prompt engineering experiment to ascertaining which model evaluation metric best aligns data science outputs with business objectives.
Collaborate with machine learning engineers to develop, deploy, troubleshoot, optimize, and maintain model pipelines with activities spanning from building reusable Kubeflow components for LLM fine-tuning to conversing about the cost impacts of model architecture choices.
Senior Research Scientist, Computer Vision & Robotics
United Imaging Intelligence UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated and skillful AI experts ... and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. Since its founding in 2017, UII has been delivering various AI solutions to medicine and helping in transforming the way healthcare is being delivered. UII has become a prominent international medical AI company that empowers smart equipment, supports biomedical research, and provides total solutions to clinical workflow from screening, diagnosis, treatment to follow-up assessment.
Qualification & Requirements: - PhD Degree in Computer Science, Electrical Engineering, Systems Engineering, or related field; - 5+ years of R&D experience in 2D/3D Computer Vision or Robotics; - Strong knowledge in computer vision, machine learning and robotics technologies; - Strong programming skills (Python and/or C++). - Proven experience in conducting cutting edge research with successful outcome; - Proven track record of publications in top-tier venues (CVPR, ICCV, ECCV, TPAMI, NeurIPS, etc.); - Familiarity with deep learning frameworks, e.g., Pytorch; - Experience with OpenCV, ROS, PCL or VTK is a plus; - Experience with RGBD sensors,embedded systems, and edge-based AI is a plus;
Responsibilities: - Research and develop computer vision and robotics algorithms; - Extend and improve company's existing algorithms and libraries; - Work closely with colleagues and management to develop company assets in computer vision and robotics; - Conduct cutting-edge research and transfer research results into practical product solutions; - Establish strong relationship with potential customers and clinical partners; - Collaborate with other team members and contribute to a nice team-working environment; - Be ambitious to lead the changes in future Healthcare with innovations.
Link:https://www.linkedin.com/jobs/view/4092645807See More >>
Senior Research Scientist, LLM
United Imaging Intelligence UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated and skillful AI experts ... and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. Since its founding in 2017, UII has been delivering various AI solutions to medicine and helping in transforming the way healthcare is being delivered. UII has become a prominent international medical AI company that empowers smart equipment, supports biomedical research, and provides total solutions to clinical workflow from screening, diagnosis, treatment to follow-up assessment.
Responsibilities: - Research and develop LLM and conversational AI systems; - Go through the entire life cycle of LLMs, including data preparation, pretraining, supervised fine-tuning, reinforcement learning with human or AI feedback, model serving, and evaluation; - Work closely with colleagues and management to develop company assets in NLP/LLM, Speech Science, and Conversational AI; - Conduct cutting-edge research and transfer results into practical product solutions; - Establish strong relationships with potential customers and clinical partners; - Be ambitious to lead the changes in future Healthcare with innovations.
Qualifications: - PhD Degree in Computer Science (especially AI/ML) or related field; - 5+ years of experience in R&D in deep learning, NLP, speech science, or related areas; - Strong programming skills (Python and/or C++). - Experience with building, tuning, and evaluating NLP/LLM models; - Proven experience in conducting cutting-edge research with successful outcomes; - Proven track record of publications in top-tier venues (NIPS, ICML, ACL, EMNLP, NAACL, AAAI, etc.) - Passion for applying AI to make a positive impact in the healthcare domain; - Familiarity with deep learning frameworks, e.g., Pytorch; - Chinese Proficiency not required but a plus.
Link:https://www.linkedin.com/jobs/view/4092650264/See More >>
Research Intern, LLM agent
Google Our team at Google Cloud AI Research (https://lnkd.in/gDMGiJh5) is seeking PhD research interns passionate about LLM agents, self-critique, self-correction, planning, reasoning, a... nd uncertainty, etc.
We’re hiring for two roles: - Student Researcher (starting Spring 2025) - Research Intern (starting Summer 2025)
The goal is to publish cutting-edge research in top-tier ML conferences. If this excites you, let’s connect at the conference!
Link:
None
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AI Research Scientist, Behavior (Beyond Imitation)
Gatik What you’ll do:
Develop novel algorithms in agent behavior prediction and AV planning in interactive scenes Conduct research on combined prediction and planning models <... br>Work on Reinforcement Learning and other approaches to Planning beyond Imitation Learning Develop robust prediction and planning metrics for assessing the behavior systems in closed loop Push forward the cutting-edge AI closed-loop methods for use in the Autonomy Stack for both Planning and Selection Test ML models in simulation to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410153006?gh_jid=4410153006See More >>
AI Research Scientist, Behavior (GenAI)
Gatik What you’ll do:
Develop novel algorithms in agent behavior prediction and AV planning in interactive scenes Conduct research on combined prediction and planning models <... br>Work on marginal, conditional, and joint prediction Develop robust prediction and planning metrics for assessing the behavior systems Push forward the cutting-edge generative AI methods for use in the Autonomy Stack Test ML models in simulation to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410151006?gh_jid=4410151006See More >>
AI Research Scientist, End-to-End Autonomy
Gatik What you’ll do:
Develop novel end-to-end algorithms for Autonomy Stack Conduct research on foundation models for driving Develop robust, interpretable, and explainab... le Autonomous Driving models Push forward the cutting-edge AI large/foundation model-related methods for use in the Autonomy Stack for any subset of Mapping, Perception, Planning and Selection Test ML models in simulation to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410158006?gh_jid=4410158006See More >>
AI Research Scientist, Mapping
Gatik What you’ll do:
Work on the Offline and Online Mapping Research tracks Define the business metrics for Mapping assessment Continuously adjust the optimal Mapping fea... ture format in collaboration with stakeholders Work on the architecture design and implementation of Mapping modules Mine and/or generate Mapping evaluation data, including sudden Map changes Mitigate the negative effect of Mapping Uncertainty Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410139006?gh_jid=4410139006See More >>
AI Research Scientist, Safety/Uncertainty
Gatik What you’ll do:
Define the Uncertainty at the different levels of Autonomous Driving Estimate Data-dependent Uncertainty and detect anomalous inputs Estimate ML model... -based Uncertainty and detect anomalous outputs Mine and/or generate out-of-distribution examples Mitigate the negative effect of uncertainty propagation Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4404572006?gh_jid=4404572006See More >>
Tech Lead, Perception
Gatik What you’ll do:
Develop and / or adjust existing state-of-the-art perception algorithms for autonomous vehicles to advance / complement research in sensor fusion, 3D object... detection, segmentation, and tracking in complex dynamic environments Work on multiple parts of the Perception ML pipeline: 2D and 3D, closed and open vocabulary detection, data-driven tracking, classification and segmentation Design and implement sensor fusion, sensor degradation, and other safety-critical systems Lead initiatives to collect, augment, and utilize large-scale datasets from sensors such as cameras, LiDAR, and radar for training and validating perception models under various driving conditions Develop robust testing and validation frameworks to ensure the reliability and safety of the perception systems across diverse scenarios and edge cases Conduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliability Document model architectures, methodologies, and results clearly and concisely Collaborate closely with the Data Engineering and AI Research teams to define project requirements, formulate innovative concepts, and co-design ML models and be responsible for their effective deployment in a real-world trucking environment Participate in hiring process for and manage the top notch ML Perception engineers
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410166006?gh_jid=4410166006See More >>
Tech Lead, Behavior (Prediction)
Gatik What you’ll do:
Develop and / or adjust existing state-of-the-art algorithms to advance / complement research in agent behavior prediction in interactive scenes in real-tim... e Work on marginal, conditional, and joint prediction Develop combined prediction and planning models using trending machine learning approaches Work with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model training Develop robust testing and validation frameworks to ensure the reliability and safety of the behavior systems across diverse scenarios and edge cases Conduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliability Document model architectures, methodologies, and results clearly and concisely Collaborate closely with the Data Engineering and AI Research teams to define project requirements, formulate innovative concepts, and co-design ML models and be responsible for their effective deployment in a real-world trucking environment Participate in hiring process for and manage the top notch ML Behavior engineers
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4410173006?gh_jid=4410173006See More >>
Definely Definely: Transforming Legal AI with Agentic Systems and Knowledge Graphs Named among the top 25 in Deloitte UK Technology Fast50 and EMEA Technology Fast 500 in 2023, Definely... is a high-growth, venture-backed company revolutionizing the $900bn global legal services market. Trusted by global leaders such as Allen & Overy, Dentons, and Deloitte, we are backed by prestigious investors including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Moonpig founder Nick Jenkins.
The Role We’re seeking a Senior Machine Learning Engineer (with at eadt 3_5 years of industry experience) to join our AI team and leverage cutting-edge technologies to redefine legal solutions. This role offers a unique opportunity for you to take the lead and ownership in the end-to-end lifecycle of building agentic systems and knowledge graphs, driving innovation in a fast-evolving domain.
Role Description Agentic Systems Development: Apply expertise in agentic and multi-agent frameworks to design intelligent workflows tailored for the legal sector, automating complex challenges. NLP and AI Innovation: Leverage advanced NLP techniques, including LLMs, transformers, and multi-modal models, to enhance product functionality and drive innovation. Knowledge Graph Integration: Utilize technologies like Neo4J to create sophisticated, data-driven legal insights and solutions. Scalable MLOps Deployment: Implement MLOps best practices to efficiently deploy and manage AI models and systems at scale. Research and Adaptation: Incorporate the latest advancements in AI, frameworks, and models into existing systems to ensure cutting-edge performance. Technical Proficiency: Demonstrate exceptional Python coding skills and experience in deploying production-grade applications to create impactful solutions.
Join us to pioneer agentic systems, leverage knowledge graphs, and shape the future of legal AI.
Link:Definely.comSee More >>
Researcher/Research Intern
Huawei Hong Kong Research Center HKRC research areas include but are not limited to: Deep learning, meta-learning, automatic machine learning, reinforcement learning, and Bayesian learning; Natural language... processing, speech recognition, speech synthesis, machine translation, dialogue and question answering system, pre-trained language model, multi-modal learning, and knowledge graph; Causal structure learning algorithm, and causal theory; Optimization of multi-factory joint machining plans, and development of large-scale linear programming solvers (CPLEX, Gurobi, SCIP, and CLP); Machine learning, data mining and Al theory and technology, including network traffic prediction, intelligent network management and control, and resource allocation optimization, transforming research ideas into enterprise solutions; Visualization of deep learning process (including training data, model training process and feature reasoning), text classification and clustering, language translation, and knowledge graph construction; and Optimal transport theory, nonlinear dynamic systems, optimal control, and graphs theories, graph computing, linear algebra, matrix analysis, random matrix, compressed sensing, signal processing, information theory, communication principles, optimization theory, operations research, calculus theory, nonlinear and Al network science and other basic theoretical research.
As a Researcher candidate, you should: Be a PhD/postdoctoral student majoring in computer science, engineering, statistics, mathematics and other related disciplines with a strong interest in theoretical/ machine learning/Al research, or an excellent MPhil student with equivalent research experience; Have a solid track record in research, a strong interest in mathematics or algorithm research, relevant papers published (such as ACM) at high-level international conferences and on academic journals, or experience of high-level competitions
Link:https://www.linkedin.com/company/huawei-hong-kong-research-center-hkrc/See More >>
Research Intern
Hitachi Energy Hitachi Energy has an opening for the position of Research Intern in the field of online machine learning and its applications in power grids.
Duration of internship: Pref... erably 6 months Mode of work: Flexible for hybrid or Remote within Canada
Responsibilities include literature screening, investigate prior arts and develop ML solutions for power grid applications.
PhD students/ candidates or excellent senior year Masters students with prior working experience on ML model development are encouraged to apply. Special considerations will be given to candidates with prior experiences in one or more of the following fields: sequential/time series forecasting, continual learning, lifelong learning, meta learning, generalized learning.
Ant Group Looking for candidates (experienced, fresh graduate & research intern) working on large models for code, nlp, and multimodalities (Base in Hangzhou & Beijing, China)
... Link:https://github.com/codefuse-aiSee More >>
Senior Applied Scientist, Amazon Japan Store Tech (JST)
Amazon Japan G.K. Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the... -art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery.
As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.
Apple We are looking for a Computer Vision and Machine Learning Engineer who will join us to build Apple’s next-generation iPhone and iPad camera algorithms. In this role, you will iden... tify and develop machine leaning models for solving specific camera applications, and work closely with GPU optimization and frameworks teams on productizing camera features.
Link:https://jobs.apple.com/en-us/details/200564444/computer-vision-and-machine-learning-engineer?team=SFTWRSee More >>
Manager, Applied Science, Japan Store Tech
Amazon Japan G.K. Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the... -art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery.
As the Applied Science Manager, you will manager the teams of scientists (applied scientists, data scientists) and machine learning engineers where the business opportunity or overall strategy may not yet be defined. You need to create the science long-term vision and roadmap across multiple business domains. Your team will design, implement and deliver science models on Amazon site, helping millions of customers every day to find quickly what they are looking for.
Key job responsibilities * Leads team(s) performing strategically important scientific analyses to identify technology gaps and business opportunities.
* Leads team(s) driving the design and delivery of solutions or systems that address significantly complex science problems and tooling efforts, decisions, and escalations.
* Communicates and drives strategic initiatives (3-5 year). Critical inputs into OP1/OP2. May be actively involved with the external scientific community
*Build a science publication strategy (what to publish, where and when). Determines when to establish a program or make a case for resources.
Capital One The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the com... pany to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Link:https://www.capitalonecareers.com/job/mclean/lead-ai-engineer/1732/73335601312See More >>
Applied Researcher II
Capital One The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Acade... mia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
Link:https://www.capitalonecareers.com/job/new-york/applied-researcher-ii/1732/70457002512See More >>
Applied Researcher I
Capital One The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Acade... mia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
Link:https://www.capitalonecareers.com/job/mclean/applied-researcher-i/1732/58002335104See More >>
Distinguished AI Engineer
Capital One The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the com... pany to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Link:https://www.capitalonecareers.com/job/san-francisco/distinguished-ai-engineer/1732/71476523968See More >>
Distinguished Applied Researcher
Capital One The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Acade... mia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community.
Link:https://www.capitalonecareers.com/job/mclean/distinguished-applied-researcher/1732/61252158992See More >>
postdoc
Purdue University The candidate will work on both theoretical foundations in terms of sample complexity as well as applications to optics and circular economy. The areas of interest are reinforceme... nt learning and diffusion models.
See More >>
Tenure-Track AI/SE and AI/ML/DL theory Faculty Positions
University of Alberta Dear Colleagues,
We are excited to announce two tenure-track faculty positions at the Department of Computing Science, University of Alberta: 1) Artificial Intelligence (A... I) & Software Engineering (SE), and 2) Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) Theory.
For the first position, we are seeking candidates with a strong research track record, demonstrated by publications in top AI+*SE* conferences and journals.
For the second position, we are seeking candidates with a strong research track record, demonstrated by publications in top AI, ML, or DL *theory* conferences and journals.
The successful candidates will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii). This prestigious Chair position includes generous research funding for at least five years.
For more details, please visit the job postings at the following links:
Our collective future is being built in the physical world, but the builders of tomorrow’s technology can no longer rely on yesterday’s tools. At Arena, we’re b... uilding the world’s first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we’re rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we’re just getting started.
How you will contribute:
As a Machine Learning Scientist at Arena, your responsibilities will include developing ML systems that power closed loop automated decision making for large enterprises. Our technology encompasses large transformer based models that feed multi-modal data in addition to Reinforcement learning based smart exploration/exploitation systems. Your work will span the spectrum from quick exploratory/experimental models to scaled, production processes. Your work may start from simple models, but the ultimate goal is to push the boundaries of what is scientifically and technically possible, and share those advances with the greater scientific community via publication and/or open source.
Link:https://grnh.se/619edc42teuSee More >>
Software Engineer, Growth
Arena AI What we do:
Our collective future is being built in the physical world, but the builders of tomorrow’s technology can no longer rely on yesterday’s tools. At Arena, we’re b... uilding the world’s first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we’re rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we’re just getting started.
About the role:
Our engineering team works directly with customers to solve complex, mission-critical challenges using Arena’s cutting-edge products and technologies. Engineers own the full solution lifecycle—from problem identification, designing and implementing data-driven solutions, to demonstrating their value in real-world scenarios.
As a Software Engineer, Growth, you’ll operate like a startup CTO. You’ll work closely with both customers and Arena teams to build end-to-end systems in small, agile teams, working on fast timelines. Your responsibilities will include designing systems, analyzing large datasets, developing tailored applications on top of Arena’s product stack, interacting with users, and training AI models. By addressing specific customer challenges, you will play a pivotal role in refining and scaling Arena’s products, contributing to their broader adoption and success.
This is a unique opportunity to gain hands-on experience in driving innovation across some of the world’s most vital industries, making it ideal for those aspiring to become entrepreneurs or future engineering leaders.
Link:https://grnh.se/e3fba982teuSee More >>
Infrastructure Engineer, Cloud
Twelve Labs At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have rede... fined the standards in video-language modelling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
As a Software engineer, Cloud Infrastructure at Twelve Labs, you will play a pivotal role in designing, implementing and maintaining our cloud infrastructure platform. As the platform matures, this will be the foundation impacting all engineering team members at Twelve Labs. You will work closely with our cross functional teams to ensure scalability, reliability and security of our cloud based systems. This is an exciting opportunity to be part of a dynamic team and contribute to the growth and success of our AI-driven products. The ideal candidate will have extensive experience with cloud technologies, strong problem solving skills and a curiosity for staying up to date with new and emerging technologies.
Link:https://jobs.lever.co/twelvelabs/7133ca13-4c54-4d99-b082-f631c2bfe734See More >>
Quantitative Research Analyst
Connor Clark & Lunn Investment Management As a member of the quantitative research team, you will tackle a broad array of challenges at the Intersection of finance, data science, and technology. You will identify novel pr... edictors of business outcomes and model complex inefficiencies in constantly evolving financial markets.
What we look for:
Domain Expertise – understanding of the drivers of business success, securities valuation, and markets.
Technical skills - statistics and/or data science.
Empirical Research - ability to develop novel hypothesis, design effective methods, and interpret results.
Twelve Labs At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have rede... fined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
As a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure!
Link:https://jobs.lever.co/twelvelabs/ea0a26b8-132a-4367-a6d8-31cd92b89e77See More >>
Machine Learning Engineer, Distributed Training Infrastructure
Twelve Labs At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have rede... fined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
As Machine Learning Engineer, Distributed Training Infrastructure, you will be responsible for ensuring that compute performance and ease-of-use never delay our research timeline. You will own strategy and implementation for all compute & training infrastructure optimization, observability, scaling, and orchestration. You will collaborate closely with other engineers and scientists to define and implement your chosen roadmap. This role is a perfect fit for research minded compute specialists who want to build SOTA video, vision, and video-language modeling systems!
Link:https://jobs.lever.co/twelvelabs/2973ec61-45ee-4272-827a-ee9f2e24b339See More >>
Machine Learning Research Scientist
Twelve Labs We’re seeking a talented AI Research Scientist to drive our research efforts in video embedding and retrieval, multimodal language models, and intelligent agents. As a key member ... of our team, you will collaborate closely with the team lead to select and execute AI research projects responsibly and proactively. Your contributions will be instrumental in shaping the future of our products and ensuring their success in the market.
Link:https://jobs.lever.co/twelvelabs/58f369fb-9328-41a4-8dca-eb7ba29c203dSee More >>
PhD students
Stony Brook University I’m looking for highly motivated PhD students working on the fundamentals of reinforcement learning, online learning, RLHF, large models (diffusion, LLM)
... Link:https://sites.google.com/stonybrook.edu/jianliSee More >>
Member of Technical Staff
The Interaction Company of California Interaction is looking for exceptional AI engineers to join our team in California as Members of the Technical Staff. We are well-funded and only hiring the very best.
... Link:https://interaction.co/jobsSee More >>
Frontend Engineer
Arena AI What we do:
Our collective future is being built in the physical world, but the builders of tomorrow’s technology can no longer rely on yesterday’s tools. At Arena, we’re b... uilding the world’s first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we’re rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we’re just getting started.
About the role:
In this role, your focus will be working with internal teams and external customers to prototype and build novel user interfaces across our product suite. You will work closely with real users in many different countries to imagine and define what human-computer interaction looks and feels like in an age of active learning AI. Your goal will be enabling our users to understand the impact & performance of our deployed machine learning systems in new and novel ways that are not only effective, but inspiring.
Our engineering team works directly with customers to solve complex, mission-critical challenges using Arena’s cutting-edge products and technologies. Engineers own the full solution lifecycle—from problem identification, designing and implementing data-driven solutions, to demonstrating their value in real-world scenarios. By addressing specific customer challenges, you will play a pivotal role in refining and scaling Arena’s products, contributing to their broader adoption and success.
Link:https://boards.eu.greenhouse.io/arenaai/jobs/4378219101See More >>
AIML - Siri NLP Engineer, Siri and Information Intelligence
Apple The goal for this role is to take Apple’s Chinese voice assistant to the next level of intelligence and accuracy using advanced statistical techniques. From improving data, pipeli... ne, services and modeling algorithms to creating experiments and implementing prototypes rapidly, working on newer challenges every day. They work hand-in-hand with other engineers in the team to build and invent a phenomenal product with a prime focus on accuracy, understandability and performance of the product.
Kipo AI We at Kipo AI are looking for an experienced MLE with experience in building and deploying custom NLP and vision models.
We are solving some difficult problems in neural in... formation retrieval and chart/graph understanding. We are an early stage company, on the cutting edge of applying ML to hard supply chain problems.
We are lucky to have a very talented founding team, and we’re looking to add one more engineer!
Ideally you have -
1. Some published work in the above areas 2. 0-3 years of experience in ML engineering/research/model deployment. 3. Ideally an MS/PhD in CS/ML/Statistics 4. Most importantly - demonstrable experience in solving difficult technical problems in any domain. The problems that we deal with require a lot of intense research and engineering.
Link:
None
See More >>
MAUM.AI WoRV (World model for Robotics and Vehicle control) Team Our team aims to develop a general-purpose foundation model that integrates text, images, videos, and even actions, us... ing it to solve problems in robotics and autonomous driving.
SketchDrive - Similar to how humans operate, a single model navigates through various environments by referencing maps, following language instructions, and relying on visual information. - Like humans, it infers human intent from the context of given instructions and uses that understanding to drive. - For more details, please see the links below: Introduction to the SketchDrive Project: https://worv.ghost.io/intro-to-sketchdrive/ Monorepo Structure for Agent Research: https://worv.ghost.io/monorepo-for-agent/
Full Research Support - On-premise research infrastructure: 12 DGX H100 servers (H100x96), over 30 A100 GPUs, and over 10 V100 GPUs. - We have pipelines to acquire high-quality human-driving data in both simulation and real-world environments. - Tailored data and unlimited annotation support according to research team needs. - Over 100 hours of navigation-based driving data already available; unlimited provision of any data desired by the research team. - Comprehensive support for attending and submitting papers to conferences such as NeurIPS, ICLR, CVPR, ECCV, Interspeech, ACL, etc. - Full coverage of conference participation expenses if accepted by an overseas journal.
Preferred Qualifications - Excellent CS fundamentals and engineering skills - Ability to quickly follow the latest research trends - Strong research track record in machine learning (publications in major related conferences or journals)
Link:https://maum.aiSee More >>
1、负责国际化短视频搜索业务的算法优化，包括召回/粗排/精排/混排/个性化等，从模型、策略和机制等角度全面优化搜索体验，满足用户个性化需求； 2、深入洞察业务数据，分析潜在的问题并提出策略提升方向，不断提升迭代模型效果，促进业务效果提升； 3、利用LLM构建垂类策略场景中模型基座，提升效果的天花板和模型统一性； 职位要求 1、熟悉机器学习、自然语言处理、数据挖掘等相关知识，有搜索推荐、广告排序等方面经验者优先； 2、5年以上工作经验，有过排序相关项目经验，对技术有追求，跟进前沿的相关技术并应用； 3、出色的问题拆解、分析和解决能力，良好的沟通表达能力和团队精神。
Link:https://job.toutiao.com/s/iDETXTa4See More >>
搜索算法工程师-抖音生活服务
Bytedance 职位描述 抖音搜索生活服务团队主要负责抖音综搜、同城、团购等场景里生活服务相关的POI（Point of Interest）、商品、视频、直播内容的搜索。我们期待构建业内顶尖的生活服务搜索业务，支持抖音生活服务业务的快速发展，通过搜索的方式连接线上和线下，为用户提供更丰富、独特的生活体验。
Tiktok Responsibilities Participate in the improvement of the search core algorithm, possible directions include: • Content understanding/matching: Applying the industry‘s cutting-... edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. • User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ”relevant“, and understand users better. • Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results. And More! Minimum qualifications: • Bachelor or advanced degree in computer science or a related technical discipline. • Effective communication and teamwork skills. • Proficient coding skills and strong algorithm & data structure basis.
Preferred qualifications: • 3+ years of related industry experience. • Experience in one or more of the following areas is preferred: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Link:https://careers.tiktok.com/s/iDEKs9PeSee More >>
Algorithm Engineer (NLP) - TikTok Search
tiktok Responsibilities Responsible for the internationalization of Tako algorithm landing of new short video products, researching new application forms and solutions based on new te... chnologies in fields such as search, recommendation, and dialogue, meeting the growing intelligent interaction needs of users, comprehensively improving the user experience of using products, stimulating creativity, and providing value. The main work directions include: 1. Enhance the experience of dialogue interaction and expand the capabilities of current new technologies, such as search enhancement and the introduction of plug-ins; 2. Apply the latest technologies to improve the effectiveness of search and recommendation systems, including data production, model training/distillation, performance tuning, etc. 3. Track cutting-edge technologies in the industry, such as prompt engineering, instruction fine-tuning, plug-in selection, and session management, and put them into practice in the business; 4. Conduct in-depth research and exploration on more future application scenarios to keep the team's technology at the forefront. Minimum Qualifications - At least 3 years of experience in a related algorithm or machine learning role - Excellent coding ability, data structure and basic algorithm foundation - Proficient in C/C++ or Python - Familiar with NLP-related algorithms and technologies, with experience in LLM, abstract, NER, and other practical or prompt engineering tuning and instruction fine-tuning.
Preferred Qualifications - Winners of ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred - Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress - Excellent problem analysis and problem-solving skills, able to deeply solve the problems existing in the application of LLM
Layer Health Layer Health is an AI startup spun out of MIT CSAIL, revolutionizing clinical documentation by leveraging the power of large language models. Having deployed our technology in rea... l-world health systems, we've witnessed how the difficulty of accurately and efficiently extracting information from clinical notes affects all aspects of healthcare. We are building an AI layer that will radically speed up and improve the quality of extracting and synthesizing information from medical records, with the mission to reduce friction everywhere in healthcare, power the future of precision medicine, and ultimately improve patient outcomes. Our diverse founding team brings expertise across machine learning, large language models, medicine, and human-computer interaction.
Layer Health Layer Health is an AI startup spun out of MIT CSAIL, revolutionizing clinical documentation by leveraging the power of large language models. Having deployed our technology in rea... l-world health systems, we've witnessed how the difficulty of accurately and efficiently extracting information from clinical notes affects all aspects of healthcare. We are building an AI layer that will radically speed up and improve the quality of extracting and synthesizing information from medical records, with the mission to reduce friction everywhere in healthcare, power the future of precision medicine, and ultimately improve patient outcomes. Our diverse team brings expertise across machine learning, large language models, medicine, and human-computer interaction.
We’re hiring an exceptional research scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.
You can expect to:
- Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization). - Propose new methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels - Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. - Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. - Collaborate with the broader engineering team to ship performant products that meet user needs. - Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.
Link:https://job-boards.greenhouse.io/layerhealth/jobs/4408712008See More >>
Member of Technical Staff (ML for Bio)
Latent Labs Join ex-AlphaFold team pioneering generative AI for human synthetic biology
We have a number of exciting roles for ML researchers who are interested in bringing the generat... ive AI revolution to synthetic biology.
Our founder is an ex-Google DeepMind team lead and also a prior member of the AlphaFold team - work that recently won the Nobel Prize! We recently concluded a significant funding round from major investors and we are looking for researchers and engineers who have hands on experience with building and deploying generative AI models, to join our foundation models team. We have roles available in both London and San Francisco. If you would be interested in learning more, please reach out to us at contact@latentlabs.com or contact Annette here on Whova.
All roles include competitive salary, stock options, health insurance, pension/401(k) contributions, generous leave policies, travel opportunities + more. Visit our jobs page for more information: https://www.latentlabs.com/ Link:https://www.latentlabs.com/See More >>
Assistant Professor in Generative Models for Artificial Intelligence
Télécom Paris, Institut Polytechnique de Paris There is a 3-year Assistant Professor open position at Télécom Paris, Institut Polytechnique de Paris. If you are passionate about Generative AI and want to work with cutting-edge... technology, this is a great chance to join a dynamic research community!
🌍 About the Role: Generative models are transforming AI, especially in areas like images, audio, videos, text, 3D, and graph-structured data. The selected candidate will join one of our research teams - S2A, IMAGES, or MM - to explore key scientific challenges, such as:
- Self- and weakly-supervised learning, transfer learning, and efficient (frugal) models - Ensuring control and reliability in generative AI systems - Working with multimodal and structured data
Software Developers for ML Data Engineering at D. E. Shaw Research
D. E. Shaw Research We're seeking developers to join our team in New York City, to build systems for modeling, curating, and indexing petabytes of data, including outputs from supercomputers and Linu... x clusters. You'll design pipelines for computational/experimental data, optimize workflows for ML training, and manage large-scale chemical databases. Expertise in life science data handling, workflow automation, and Linux/UNIX tools is valuable, but curiosity, versatility, and a strong track record matter most. For more information, visit www.DEShawResearch.com.
D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.
The expected annual base salary for this position is $230,000–$550,000. Our compensation package also includes variable compensation. The applicable annual base salary paid will be determined based on multiple factors. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
Link:https://apply.deshawresearch.com/careers/Register?pipelineId=882&source=NeurIPS_WhovaSee More >>
Research Assistants, Pre-Docs at IISc, Bangalore, India
Indian Institute of Science Hi, I'm an incoming assistant professor at IISc, Bangalore. I mainly work in the theory of sequential learning problems, which include multi-armed bandits, reinforcement learning,... sequential statistics, etc.
I'm looking for highly motivated research assistants (RA) and pre-docs interested in working on sequential learning. I'll be at NeurIPS until the 12th. If interested, please reach out.
Link:https://sites.google.com/view/shubhada-agrawal/homeSee More >>
Machine Learning Researchers and Engineers at D.E. Shaw Research
D. E. Shaw Research We seek machine learning researchers and engineers with outstanding academic and professional achievements to join our interdisciplinary team in NYC. Collaborate with chemists, bi... ologists, and computer scientists to advance machine learning in drug discovery, biomolecular simulation, and biophysics. Focus areas include generative models for novel molecule discovery, predicting PK/ADME properties, improving molecular simulations, and understanding disease mechanisms. Strong python skills and experience in areas like deep learning, HPC, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, or quantum chemistry, with a proven track record in machine learning innovation are highly valued. For more information, visit www.DEShawResearch.com.
D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.
The expected annual base salary for this position is $300,000–$600,000. Our compensation package also includes variable compensation. The applicable annual base salary paid will be determined based on multiple factors. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
Link:https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=NeurIPS_WhovaSee More >>
Software Developer Associates at D. E. Shaw Research
D. E. Shaw Research We seek early-career software developers to join our NYC drug discovery team, supporting critical tools and infrastructure for AI and drug discovery in collaboration with chemists... , biologists, and computer scientists.
Responsibilities include installing and troubleshooting software, scripting data workflows, maintaining documentation, setting up scientific data pipelines, and integrating third-party software. Proficiency in Python for scientific workflows and experience with computational drug discovery tools or chemical data management are ideal. Linux/UNIX familiarity, C++ knowledge, and a proven ability to enhance computing environments are a plus. We value creativity, problem-solving, communication skills and attention to detail. For more information, visit www.DEShawResearch.com.
D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.
The expected annual base salary for this position is $200,000–$300,000. Our compensation package also includes variable compensation. The applicable annual base salary paid will be determined based on multiple factors. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
Link:https://apply.deshawresearch.com/careers/Register?pipelineId=604&source=NeurIPS_WhovaSee More >>
Software Developers for Drug Discovery at D. E. Shaw Research
D. E. Shaw Research We seek software developers to join our NYC drug discovery team, collaborating with chemists, biologists, AI researchers, and computer scientists to design and support tools criti... cal to our drug discovery and AI efforts.
Responsibilities may include building scientific workflows, cheminformatics tools, scalable systems, data analysis tools, and visualization software. Strong Python and C++ skills, Linux/UNIX fluency, and experience with cheminformatics software (e.g., molecular modeling, virtual screening, and chemical database engineering) are ideal. Knowledge of workflow engineering, and data-parallel computing is beneficial but not essential. Intellectual curiosity, versatility, and a proven track record matter most. For more information, visit www.DEShawResearch.com.
D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.
The expected annual base salary for this position is $230,000–$550,000. Our compensation package also includes variable compensation. The applicable annual base salary paid will be determined based on multiple factors. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
Link:https://apply.deshawresearch.com/careers/Register?pipelineId=605&source=NeurIPS_WhovaSee More >>
W1 Junior Professorship (W3 tenure track position) in Data Driven Materials Design
INM - Leibniz Institute for New Materials The successful candidate will also be appointed as Head of a research group at INM – Leibniz Institute for New Materials and at the German Research Center for Artificial Intellige... nce (DFKI). This position will initially be a fixed-term public sector position (Beamtenverhältnis auf Zeit) for a period of three years. The duration of the appointment may be extended up to a maximum of six years in total if this is supported by a positive teaching appraisal and a positive external assessment of the appointee’s research work. If performance continues to meet the required standards and if the tenure evaluation procedure is positive, the junior professor will be promoted to a permanent professorship (lifetime tenure) at the German academic salary scale W3. We are looking to appoint a scientist who will conduct innovative interdisciplinary research at the interface of materials research and computer science. The role will involve researching and developing new AI-based approaches to the design and development of new materials. Hybrid materials with potential applications in digital environments and in biomedicine are of particular interest.
Link:https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2571_Ausschreibungstext_W1ttW3_DDMD.pdfSee More >>
Applied Scientist Next Gen. Dev. Experiences
AWS Come build with us the LLM-based, next generation developer experience at AWS. We're #1 on the SWE bench verified leaderboard: https://www.swebench.com/... See More >>
Technology and Security Policy Fellow
RAND RAND’s Technology and Security Policy (TASP) Center is hiring fellows for technical and policy work on frontier AI evaluations, policy, and related areas. We are particularly seek... ing ML engineers, research engineers, software engineers, data scientists, cybersecurity experts, and computational biologists for AI capability evaluation work. We are especially keen to speak with folks who have experience with LLM and/or agent evals; or experience with biological/cyber threat modeling.
About the TASP Center in general: TASP conducts high-impact, time-sensitive research on AI capability evaluations (ACE); compute; frontier AI energy; the geopolitics of AGI; and technology, policy and governance. About AI Capability Evaluations (ACE): ACE develops and conducts capability evaluations of frontier and specialized AI systems in domains relevant to potential global emerging risks, particularly biology and cybersecurity, using methods including benchmarking, red-teaming, and human uplift studies. ACE collaborates closely with third-party evaluations organizations (e.g. METR) and conducts research that informs key policymakers in a range of jurisdictions on AI threats and mitigations. See more information on RAND’s collaborative work with METR and associated funding. About the TASP fellowship: Fellowships can be full- or part-time. Fellowship durations will typically start at one year with the possibility of up to two additional years. Candidates are welcome from all experience levels, from undergraduate students to mid-career professionals. Fellows must be based in the US or UK. There are some other ways we can work with exceptional or part-time candidates elsewhere, especially in Belgium or the Netherlands; feel free to reach out to us to explore that. A wide range of experience levels, backgrounds, and focus areas can fit the fellowship. This includes both highly technical and non-technical people.
Link:https://www.rand.org/jobs/technology-security-policy-fellows.htmlSee More >>
ML Infrastructure Engineer, AI Research Team
Gatik About the role:
We’re currently looking for a motivated ML infrastructure engineer to build, maintain, and improve scalable distributed ML training and inference. In this p... ivotal role, you’ll be instrumental in designing and refining the data and ML pipelines for scaled distributed training and validation of ML models. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what’s possible in autonomous trucking.
What you’ll do:
Own and lead the exploration of the latest technology of distributed (multiNode multiGPU) training and inference optimization Build scalable and robust distributed ML training and inference pipelines Develop model benchmarking processes and tools Adjust frameworks and interfaces to accelerate machine learning development and maximize the utilization of hardware capabilities Develop the infrastructure for data augmentation pipelines and synthetic data generation Collaborate closely with the AI Research team and DevOps team on preparing required assets and tools Adopt state-of-the-art open-source models in AV into the distributed training and inference pipelines
Link:https://boards.greenhouse.io/gatikaiinc/jobs/4424743006?gh_jid=4424743006See More >>
Assistant/Associate/Full Professors in Machine Learning and Data Science
IIT Bombay, Centre for Machine Intelligence and Data Science The Centre for Machine Intelligence and Data Science at IIT Bombay is hiring faculty at all levels working in the broad domains of machine learning and data science. Please contac... t me at the conference to learn more!
Link:minds.iitb.ac.in/recruitmentSee More >>
PhD Student at IISc, Bangalore, India
Indian Institute of Science Hi, I'm an incoming assistant professor at IISc, Bangalore. I mainly work in the theory of sequential decision-making problems, which includes problems like multi-armed bandits, r... einforcement learning, sequential statistics, etc.
I'm looking for 1 highly motivated Ph.D. student with a strong mathematical background, broadly in the area of learning theory/ sequential learning, to work with me at IISc, Bangalore.
Alljoined Alljoined is building non-invasive mind reading technology with AI. Using deep learning on noninvasive EEG signals, we transform neural activity into interpretable digital outputs... —images, text, sound, video, and more. We have gathered the world’s largest datasets and built state-of-the-art deep learning models that decode brain signals into words, images, sounds and actions.
We are a fast-growing startup of world-class researchers and engineers in machine learning and computational neuroscience. Our background hails from institutions such as Stanford and StabilityAI. Our work has been presented at top machine learning conferences such as CVPR, AAAI, ICML and ICLR. Recently, we have closed a fundraising round lead by top investors such as Khosla Ventures, Jeff Dean, Guillermo Rauch, Compound, Conviction, First Spark, Artis and more.
We are seeking talented Machine Learning Research Engineers to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems.
Link:https://alljoined.comSee More >>
About the Team: Alloy operates in a hybrid-work environment, with local employees onsite twice a week. The ... Predict Team builds machine learning capabilities to improve clients’ decision-making and risk management. The team works closely with others across Alloy to deliver foundational features for risk management.
Key Responsibilities: • Architect scalable, fault-tolerant systems for real-time and batch machine learning processes. • Develop clean, well-tested interfaces between machine learning systems and the Alloy application. • Build highly available, low-latency machine learning systems. • Collaborate with teams such as Product, Engineering, and Data Scientists to develop ML algorithms. • Contribute to feature generation systems (real-time and batch) using technologies like Flink, Kinesis, and SageMaker. • Participate in on-call rotation for system support.
Qualifications: • Experience deploying machine learning models to external-facing applications. • Solid understanding of SDLC practices, CI/CD, and Infrastructure as Code (IaC). • Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink, Spark). • 5+ years of experience in production-level code as a software/data engineer, with at least 2+ years involving machine learning and external-facing product features. • Strong proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow). • Expertise in Python, Terraform, and JavaScript, with the ability to quickly adapt and build high-quality code. • Experience with scalable and highly available application architectures. • Excellent communication and collaborative skills to work across teams.
Additional Requirements: • Must be local to the Greater New York City Area.
Link:
None
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Intern Research Scientist - AI Software Development (PhD)
Huawei Technologies Canada Co., Ltd Our team has an immediate internship opening for a research scientist.
Responsibilities:
- Develop novel solutions and perform extensive evaluation of prototypes co... ntributing to Huawei's next- generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
- ldea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
- Present research outcomes to internal and/or external audiences. Collaborate with researchers and product teams to implement research findings into products.
Cantina A bit about Cantina: Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your fri... ends directly in the Cantina or across the internet. Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters.
A bit about the role: We are seeking a Tech Lead to guide the development of our machine learning infrastructure team. This role will be critical in scaling our AI systems, which underpin the creation and deployment of highly interactive, multimodal AI characters.
What you’ll do: Lead the design, development, and maintenance of scalable machine learning infrastructure for Cantina’s AI-driven applications. Implement and optimize the deployment of ML models, ensuring low-latency, high-availability performance. Collaborate cross-functionally with product, engineering, and research teams to integrate AI models into our platform.
A bit about you: 5+ years of experience working with machine learning infrastructure in a production environment, preferentially for a consumer facing product. 2+ years of management experience preferred. Proven experience leading teams in building scalable ML systems and pipelines. Expertise with cloud platforms (e.g. AWS) and container orchestration tools (e.g., Docker, Kubernetes).
Pay Equity: In compliance with Pay Transparency Laws, the base salary range for this role is between $200,000-250,000 for those located in the San Francisco Bay Area, New York City and Seattle, WA.
Benefits Summary: Health Care — 99% of premiums for medical, vision, dental are fully paid for by Cantina, plus One Medical membership. Monthly Stipend — $500/month to use on whatever you’d like! Rest and Recharge — 15 PTO days per year, 9 sick days, 13 paid company holidays. 401(K)
Link:https://www.cantina.com/careers?ashby_jid=e4d824cb-1597-4e5b-9f95-bb29537437f7See More >>
Research Scientist
Cantina A bit about Cantina: Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots directly acr... oss the internet.
About the role: We are seeking talented Research Scientists to develop state-of-the-art text, video and image generation models that enable our AI bots to perceive and interact with visual environments in real-time.
A bit about the work: Conduct research to develop novel algorithms and models across speech, text, voice and image modalities. Focus on optimization and efficiency of novel model architectures to enable real time interactions. Collaborate with product, design and engineering teams to guide research prototypes to production.
A bit about you: Ph.D. in Computer Science, Electrical Engineering, or related fields with focus on generative modeling. Proven track record of research excellence demonstrated through publications. Hands-on experience training generative AI models at scale for real-time applications. Strong programming skills in Python with deep learning frameworks experience.
Location: Offices in Sunnyvale, CA, San Francisco, CA and Brooklyn, NY. Offers remote and hybrid opportunities.
Pay Equity: Base salary range between $200,000 - $350,000 for Bay Area, NYC and Seattle locations.
Cantina Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots across the internet.
Senior M... L Engineer Role: Design, implement, and fine-tune image and video AI models powering lifelike AI bots. Responsible for generative image, video, and machine vision services with multimodal AI capabilities.
Requirements: - Demonstrated interest in AI image generation - Deep technical foundation in machine learning - 2+ years building production-grade ML models - Strong Python programming skills - Familiar with Stable Diffusion, Visual Transformers, TensorFlow, PyTorch - Experience with cloud platforms (GCP, AWS, Azure) - Strong teamwork and communication skills
Location: Offices in Sunnyvale, CA, San Francisco, CA, and Brooklyn, NY. Remote and hybrid opportunities available.
Compensation: Base salary range $175,000-$250,000 in Bay Area, NYC, and Seattle.
I am an assistant professor at the School of Cybersecurity and Privacy (SCP) at Georgia Tech and I am looking to hire a couple of PhD students for Fall 2025 (with the p... ossibility to start earlier in summer).
I mainly work on the security and privacy of machine learning (ML) systems. A good fit for my group would be someone with a good mathematical background and self-motivated to work on impactful problems that result in practical systems. My research asks what are the intrinsic security and privacy properties of ML algorithms, and how can we build better ML algorithms and systems with provable security guarantees?
If you are interested, please consider applying to the SCP PhD program (you can mention me in your app), and drop me an email at teobaluta at gatech dot edu!
RealAvatar At RealAvatar we build verified AI Avatars in partnership with academics and educators. Founded by Andrew Ng and his fund AI Fund, and led by Jeff Daniel, RealAvatar is developing... quickly in this fast-paced space. The MLE role description is in the link.
Please apply and let me know on Whova if you have any questions. This is a full time role.
Responsibilities:
Partner with technical (ML/AI) and product stakeholders to design an effective multimodal AI platform (audio, video and text generation)
Design and implement necessary pipeline components to enable new use cases.
Develop components for a multimodal Python pipeline that involves audio, video and text generation in a low latency, streaming regime
Collect and analyze datasets stored in various databases (SQL, PostgreSQL and vector datastores such as Pinecone)
Requirements - Minimum of 5 years of relevant work experience - Silled in developing and maintaining data pipelines to collect, process, and transform data; perform data manipulation and data analysis- Adept at creating ML model prototypes (e.g. for classification), LLM workflows (e.g. using LLM agents) and/or performing model evaluation.- Experience with Model Deployment & Monitoring - Experience with cloud computing (GCP or AWS) and data engineering - Formal training in Computer Science
Link:https://jobs.lever.co/AIFund/b081cf84-ca63-4475-a4f9-5037565d2804See More >>
Distributed ML Systems Engineer
Together.ai Together AI is seeking a Distributed ML Systems Engineer to design and build scalable machine learning systems that power our accelerated AI initiatives. This role involves develo... ping large-scale, fault-tolerant distributed systems that handle high-load and high-performance requirements. If you are passionate about designing ML systems that operate at scale and eager to create impactful solutions, we want to hear from you. This position offers the chance to work closely with our AI researchers and infrastructure teams to ensure our systems are robust and efficient. Join us in shaping the future at Together AI!
Responsibilities: - Design and build large-scale, distributed machine learning systems that are fault-tolerant and high-performance. - Develop and optimize distributed processing frameworks and storage systems. - Collaborate with researchers, engineers, and product managers to integrate ML systems into our infrastructure. - Conduct architecture and design reviews to ensure best practices in system design. - Implement robust monitoring and logging systems to ensure the health and performance of our ML systems.
Requirements - 3+ years of experience in building large-scale, fault-tolerant, high-performance distributed systems. - Strong programming skills in one or more of Python, Go, Rust, or C/C++. - Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, and storage, performance, and scale. - Experience with cloud computing platforms (AWS, GCP, Azure etc.) and large-scale infrastructure. - Strong problem-solving skills and ability to work in a fast-paced environment. - Preferred: Experience with Kubernetes - Preferred: Experience with Pytorch
Together.ai As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applicati... ons. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills - Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies
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JHU postdoc opportunities
JHU Data Science and AI Institute Postdoctoral Fellowship Program
The Johns Hopkins Data Science and AI Institute welcomes applications for its postdoctoral fellowship program,... seeking scholars to advance data science and artificial intelligence and/or its applications across all areas, including science, health, medicine, the humanities, engineering, policy or ethics.
The postdoctoral fellows will join the growing Data Science and AI Institute research community and collaborate with its broad array of faculty members. Fellows will form a cohort of outstanding scholars who will contribute to the research, education, policy, and outreach goals of the institute.
This program supports Johns Hopkins historic commitment to build the nation’s foremost destination for emerging applications, opportunities, and challenges presented by data science, machine learning, and AI. The Data Science and AI Institute expansion includes a state-of-the-art facility on the Homewood campus and an expansion of our computing resource capacity to the scale required for an initiative of this dimension.
Program Benefits: Competitive salary Academic travel stipend Mentoring by Data Science and AI Institute-affiliated faculty and collaborators Access to Data Science and AI Institute compute resources Participation in center-supported educational initiatives and projects The application period is now open for the 2025-2026 academic year. The deadline for applications is January 6, 2025.
Assistant Professor in generative models for artificial intelligence.
Telecom Paris, Institut polytechnique de Paris Who are we? :Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of the top 5 French general engineeri... ng schools. The guiding mission of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.
We are looking for an Assistant Professor in generative models for artificial intelligence. You will join the Image, Data, Signal Departement (IDS).
Your main responsibilities will be: Participate in the design and implement courses in their scientific field Conduct research Participate in the development of partnerships, collaborations, and contractual agreements in their scientific field Foster the recognition of Telecom Paris and the Institut Polytechnique de Paris
Job requirements To succeed in this role, you have an in-depth theoretical or applied knowledge in generative artificial intelligence, deep learning, data (audio, image, video, etc.). Fluency in written and spoken English is required for this position and you have a PhD.
Other expertise of interest: · Expertise in generative AI in one or more of the application areas of the hosting teams (music, speech, audio, computer vision, bio-medical imaging, remote sensing, etc.) · Expertise in processing multimodal and structured data (graphs) · Self-supervised, sequential learning, transfer learning, domain adaptation · Diffusion models, adversarial models, foundation models, plug-and-play, unrolling · Ethics and bias in generative AI systems · Expertise in managing open-source projects
Dartmouth Engineering I’m hiring PhD students for next year (flexible start) to work on a range of problems related to causality. Many of the problems will be motivated by biology and health and the la... b will work closely with the Schmidt Center at Broad Institute of MIT and Harvard (where I will be a Visiting Scientist Affiliate).
Link:
None
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Research Intern for Qwen LLM at Alibaba Tongyi Lab
Alibaba We are seeking motivated Research Interns for Qwen LLM. Contribute to cutting-edge projects in multilingual and multimodal AI technologies.
Key Areas:
Multilingual L... arge Language Models:
Develop and enhance foundational multiliangual LLM technologies Post-training and Multicultural Alignment
AI Research Scientist, Human Behavior and Carbon Neutrality
Toyota Research Institute (TRI) TRI's Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand,... predict, and enable carbon neutral behavior.
We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time.
Google Cloud AI Looking for talented Ph. D. candidates to work on machine learning quality.
Multiple openings, including Gemini/Google Foundation Model quality (across Data Flywheel, Inst... ruction Following, Factuality, Code Generation, Agent Reasoning/Planning), Model Customization (Tuning/distillation recipe), Agent Orchestration and End to End Quality, Eval Service Thinking Quality.
Skills: Machine Learning principles; coding (ML/Python); Deep Learning, LLM, and GenAI experience)
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NUS CogAI4Sci team hiring PhD, intern, postdoc, visiting scholar
National University of Singapore Exciting news!
The CognitiveAI for Science team (CogAI4Sci) at the National University of Singapore is currently recruiting PhD students, postdocs, interns, and visiting sc... holars. Multiple fully funded positions are available.
We have multiple openings for PhD students, postdocs, interns and visiting scholars to join our lab and work with us together in the following directions:
1) AI scientist for medicine and biology
2) Discrete representation and its applications in multi-modal large language model and diffusion
We welcome any candidate who dares to think big, sees things differently and is not fond of rules, regardless of their gender, religion, race, age, national origin, disability or which university the candidate graduated from. The only thing we use to judge a candidate is the quality as a scientist.
If you are interested, please fill in the application form on our website www.cogAI4Sci.com
JetBrains For details and application, see the positions linked at the bottom. Please mention you attended NeurIPS 2024 :)
At JetBrains, code is our passion. Ever since we started ba... ck in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.
You’ll be working on developing models from scratch and deploying them into production environments where they will be accesible by end users across the globe.
We have several tracks available, including training foundation LLMs or supporting models from scratch for code completion, writing assistance, and for evaluating them.
JetBrains For more details and application, see the attached link.
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s mo... st robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are working on a platform that provides AI capabilities to all JetBrains products. The code completion feature in IDEs, powered by this platform, is an essential tool that helps developers boost their productivity and create better software.
We are currently seeking an experienced Product Manager to join the JetBrains AI team and help to drive the success of the AI code completion feature across both JetBrains and external IDEs. In this role, you will take into account user feedback, analytics, and current trends to help your team make informed decisions.
Link:https://www.jetbrains.com/careers/jobs/product-manager-in-ai-code-completion-1308/See More >>
Faculty position at Westlake University
Westlake University Department of Articifial Intelligence at Westlake University is hiring faculty at all levels.
For more details, please contact Tao Lin at the conference or on Whova.
... Link:
None
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Applied Scientist (Model Alignment)
NVIDIA Applied research on general model alignment techniques. Open to both recent PhD graduates and senior researchers.
Must have prior research experience with model alignment —... please send resume by email if interested.
Link:
None
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Faculty Positions: Department of Machine Learning at MBZUAI
MBZUAI The Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has faculty openings at all ranks (full/associate/assistant professors). Qua... lified candidates are invited to apply. Applicants are expected to conduct outstanding research and be committed to teaching. Successful applicants will be provided an attractive remuneration package and allocated generous research funding for each year. Long-term research on big problems is particularly encouraged.
Deep Learning Scientist - Protein and Cell Engineering
Manus Bio Manus works across industries and value chains to accelerate the transition to BioAlternatives – better performing and more sustainable versions of complex molecules traditionally... sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.We are seeking a motivated individual for a Computational Research Scientist position that will specialize in deep learning to solve biological problems.
This candidate should have experience in at least one area of deep learning but have familiarity with a broad array of techniques, such as data pipeline development, metabolic engineering, or protein engineering. This person will play an integral part of Manus Bio’s R&D team contributing to deep learning and AI tool development to create better enzymes, microbes, and bioprocesses to produce more sustainable BioAlternative products.
Responsibilities: 1. Develop and implement deep learning models to predict and optimize enzymes and metabolic pathways in microbial systems. 2. Conduct simulations and modeling of metabolic networks to identify key regulatory nodes and potential engineering targets. 3. Perform protein variant designs with established protocols to support in-house projects. 4. Collaborate with experimental biologists to design and interpret experiments that validate computational predictions. 5. Communicate results and insights to multidisciplinary teams, including presentations and written reports. Required qualifications: 1. Ph.D. in BioEngineering with a strong focus on deep learning 2. Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries. 3. Proficiency in programming languages such as Python, R, or MATLAB 4. Excellent communication skills, both written and verbal
Link:https://www.manusbio.com/careers?jobId=5bbf6e20-c99a-7508-382c-4f97cfb15b4cSee More >>
ASU postdoc and phd student opportunities
Arizona State University I am hiring postdoc and PhD students working on reinforcement learning machine learning theory and application. Those interested in these positions are encouraged to contact Profe... ssor Shaofeng Zou in the School of Electrical, Computer and Energy Engineering, Arizona State University: email: Zou@asu.edu. More details about Prof. Zou can be found here: https://sites.google.com/view/szou/home For Postdoc candidates: Preferred candidates shall have a strong background in reinforcement learning and deep learning theory, have a track record of publication at top machine learning conferences and journals.
Global Healthcare Exchange Research at the intersection of GenAI (LLMs primarily), Knowledge Graphs and Logic Programming/Reasoning. Relatively open ended as there are many possible projects of interest.
... See More >>
RIKEN-AIP Succinct Information Processing Team: Open Positions for Research Scientist, Postdoctoral Researcher, and Intern
RIKEN The Succinct Information Processing Team at the RIKEN Center for Advanced Intelligence Project (RIKEN-AIP) is seeking talented individuals for the following positions:
Research Areas ・Compressed Data Representation and its applications in machine learning ・Data Compression for big data processing
Qualifications ・Research Scientist / Postdoctoral Researcher: A Ph.D. (or expected by the start date) in machine learning, computer science, statistics, or a related field is required. Candidates must demonstrate a proactive and flexible attitude, excellent communication skills, and the ability to collaborate effectively within and outside the laboratory.
・Intern: Candidates should have a strong interest in the listed research areas and a desire to contribute to cutting-edge projects.
Work Location RIKEN Center for Advanced Intelligence Project 15th Floor, Nihonbashi 1-Chome Mitsui Building 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
How to Apply If you are passionate about advancing the frontiers of data compression and machine learning, please feel free to contact:
I will also be attending the NeurIPS Conference from December 10th to December 15th. If you have any questions about these open positions, please do not hesitate to reach out to me during this time.
(Sony) Internship - AI Application Engineer_SIGGRAPH Asia_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Join our team of Research and Development engineers and embark on an exciting journey of applied research and ... prototype development! As part of our diverse and innovative projects, you will address real-world challenges in natural language processing, computer vision, machine learning, human-computer interaction, cloud services, computer graphics, data analysis, and their intersections. At Sony Group, encompassing Sony, Sony Pictures Entertainment, Sony Music Entertainment, Sony Interactive Entertainment, and Sony Life Insurance, you will have the opportunity to propose cutting-edge user and creator experiences that contribute to various businesses.
Here are some ongoing projects you could participate in:
■ The Future of Content Production - VIRTUAL PRODUCTION Sony is enabling creators to embrace the innovative approach of content production through virtual production by developing technologies and providing solutions. We are exploring AI utilization for generating 3D scenes and assets to deliver end-to-end creative services. https://square.sony.com/ces2024/virtual-production/
■ Sensing & Interactive Technology Showcase for Location Based Entertainment Sony is advancing Proof of Concept for immersive experiences through intra-group collaboration to enhance the utilization value of content IP. We are researching and developing AI utilization for tasks like image-to-image and video generation to offer novel user experiences in Location Based Entertainment. https://square.sony.com/ces2024/immersive-room/
(Sony) Internship - Research Engineer for Natural Language Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Our team is building a wide range of natural language processing technologies intended to be applied to entert... ainment content creation and business data analysis.
(Sony) Full-Time - AI Application Engineer_SIGGRAPH Asia_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Join our team of R&D engineers to embark on an exciting journey of applied research and prototype develop... ment! Within our diverse and innovative project portfolio, you will have the opportunity to take on real-world challenges related to the fields of natural language processing, computer vision, machine learning, human-computer interaction, cloud services, computer graphics, data analysis, and their intersections. As such, you will have the opportunity to propose cutting-edge user and creator experiences that contribute to a range of businesses within Sony Group, including Sony Pictures Entertainment, Sony Music Entertainment, Sony Interactive Entertainment, and Sony Life Insurance.
Below are examples of ongoing projects you may contribute to:
■ Content Creation Support Technology: Develop technology for the automatic generation of dialogue and live commentary in entertainment (such as movies), animation, games, and music. Our goal is to enhance content creation workflows and collaborate with various divisions to explore automatic content creation for "virtual productions". ■ Multimodal AI Application Technology: Dive into the exciting field of multimodal AI, combining different modalities such as images and text to solve complex tasks. Here, we contribute to the development of practical multimodal AI application technologies for Sony Group's businesses, with a focus on vision-based lightweight gaze estimation, video-based play-by-play commentary generation, and dialogue-based non-verbal gesture generation.
(Sony) Full-Time - Software Engineer, Applied Crytography or Watermarking_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
We are developing security related technology in the fields of applied cryptograpy and watermarking which are ... utilized to protect user's privacy and ensure authenticity of creative works such as image, video etc. By collaborating with teams throughout Sony Group working in diverse business domains including music, movie, finance, consumer electronics and new Web3 businesses, there are a lot of opportunities to develop unique technologies with actual applications. We are therefore seeking a Security Engineer with experience and expertise in the technolog fields to innovate with us and push our work forward.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Full-Time---Software-Engineer--Applied-Crytography-or-Watermarking_JR-116527?q=neuripsSee More >>
(Sony) Full-Time - Senior Research Engineer for Natural Language Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Our team is building a wide range of natural language processing technologies intended to be applied to enter... tainment content creation and business data analysis. You will work on advanced research in natural language processing. Your main task will be the research and development of multilingual LLM and downstream task for content creation intended to reduce hurdles for content distribution and make workflow more efficient. We expect to utilize this technology in movies, anime and games and contribute to deliver Sony's content to more customers faster.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Full-Time---Senior-Research-Engineer-for-Natural-Language-Processing_JR-116533?q=neuripsSee More >>
(Sony) Internship - Research engineer for data science and machine learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
For this position, we are looking for researchers with strong expertise in data science and machine learning, ... including causal inference, recommender systems, sports analysis, or related fields. Candidates should be capable of developing and evaluating such algorithms using real data from commercial services. Sony group aims to engage with over 1 billion users through its direct-to-consumer (DTC) services. To achieve the goal as a research and development hub for the einter group companies, our team upholds the theme of "Human-Centered Data Science" and conducts research and development within the following scope: Human as a Data Source: - Acquiring customers and enhancing user engagement through personalization - Understanding behaviors and extracting insights both online and offline - Creating new experiences based on these technologies and insights Human as a Data User: - Developing AI and data science technologies that are user-friendly for data analysts and creators - Enhancing interaction technologies for improved usability and effectiveness
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Internship---Research-engineer-for-data-science-and-machine-learning-KDD_JR-116890?q=neuripsSee More >>
(Sony) Full-Time - Senior Research Engineer for Speech/Audio Signal Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
(Sony) Full-Time - Research engineer for data science and machine learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
For this position, we are looking for researchers with strong expertise in data science and machine learning, ... including causal inference, recommender systems, sports analysis, or related fields. Candidates should be capable of developing and evaluating such algorithms using real data from commercial services. Sony group aims to engage with over 1 billion users through its direct-to-consumer (DTC) services. To achieve the goal as a research and development hub for the einter group companies, our team upholds the theme of "Human-Centered Data Science" and conducts research and development within the following scope: Human as a Data Source: - Acquiring customers and enhancing user engagement through personalization - Understanding behaviors and extracting insights both online and offline - Creating new experiences based on these technologies and insights Human as a Data User: - Developing AI and data science technologies that are user-friendly for data analysts and creators - Enhancing interaction technologies for improved usability and effectiveness
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Full-Time---Research-engineer-for-data-science-and-machine-learning_JR-116501?q=neuripsSee More >>
(Sony) Internship - Researcher / Natural Language Processing (NLP) for Multimodal Machine Learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Technologies like generative AI have the potential to transform the lifestyles of consumers and the workflows ... of professional creators. Sony R&D is developing large-scale generative AI technologies for content generation and restoration. This is called Sony generative AI, and is broken down into three categories: diffusion-based models, stochastic vector quantization techniques, and visual-and-language pre-training. Sony generative AI is expected to become an integral part of the music, film, and gaming industries in the years ahead. We at Sony R&D would like to make the most out of our unique opportunity to work directly with world-leading entertainment groups within those industries. Demonstrations of media generation and restoration are available at https://sony.github.io/creativeai.
(Sony) [Intern] Engineer / Researcher - Affective Computing (brain technology, biomedical engineering and signal processing)_NeurIPS
Sony Corporation (To apply, and for more info, please click the link)
For the purpose of better understanding people, we are conducting both hardware and software research on vital sensing,... emotion estimation, and its intervention technologies to support all businesses (e.g. Entertainment services (Music, Game, Movie), Electronics, Automotive, Financial Services, and new businesses) in Sony Group. Our goal is to acquire fundamental technologies that approach the internal state of human beings to enhance User Experience of services and products.
Postdoc in Privacy and Robustness of Machine Learning Algorithms
University of Copenhagen Deadline: December 15
We are seeking a highly motivated postdoctoral researcher to conduct theoretical and/or empirical research on privacy and/or robustness in machine lea... rning.
Potential research topics include, but are not limited to:
- Learning-theoretic implications of differential privacy, machine unlearning, or robustness and the relationship between these notions
- Developing statistically and computationally efficient algorithms that incorporate these properties
- Exploring privacy, unlearning, and/or robustness in alternative learning settings such as online, active, semi-supervised, or noisy environments
Sanford Laboratories for Innovative Medicines We seek a highly qualified and motivated Scientist with a strong background in machine learning/generative AI to join the AI Platform at Sanford Laboratories for Innovative Medici... ne (aka Sanford Labs). Sanford Labs is an independent, not-for-profit biomedical research organization with a mission to discover and deliver the next generation of molecular medicines.
RNA therapeutics consist of a rapidly expanding class of modalities (e.g., ASOs, siRNAs, mRNAs, and RNA aptamers) that can generate fast-track solutions in the clinic. At Sanford Labs, you will participate in developing and implementing AI/ML models and optimization paradigms to design best-in-class RNA therapeutics. As a Machine Learning Scientist, you will focus on designing and optimizing advanced AI/ML algorithms to address complex challenges in RNA therapeutics. You will develop and implement state-of-the-art architectures to enhance RNA sequence design, collaborating closely with interdisciplinary teams across Sanford Labs. This position offers an exciting opportunity to apply and refine cutting-edge machine learning methods while advancing innovative therapeutic solutions.
The ideal candidate will have a strong foundation in machine learning, experience with modern AI architectures (e.g., transformers, diffusion models, or graph neural networks), and a keen interest in applying computational approaches to real-world problems in RNA biology and therapeutic discovery.
Link:https://www.linkedin.com/jobs/view/4090187005See More >>
Assistant Prof / Associate Prof / Professor in AI, CCDS, NTU Singapore
College of Computing and Data Science, NTU Singapore Young and research-intensive, Nanyang Technological University (NTU) Singapore is ranked among the world’s top universities. A hot bed of cutting-edge technology and groundbreakin... g research, NTU's College of Computing and Data Science (CCDS) aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age.
CCDS invite qualified and passionate academics to apply for a faculty position at all levels, and in all areas of Artificial Intelligence. We seek individuals with exceptional promise for or a proven record of research achievements within their chosen field of research. They should also demonstrate strong ability for effective undergraduate and graduate level teaching. Candidates must have vision and an interest in defining the research frontier as well as educating our next generation of young leaders in this rapidly evolving field. Candidates should also demonstrate the ability to combine theoretical knowledge with practical development of computational solutions and systems.
Endowed Chair Professorships in AI, CCDS, NTU Singapore
Nanyang Technological University (NTU), Singapore The College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU) Singapore is actively seeking global leaders in Artificial Intelligence (AI) for the fol... lowing two tenured endowed chair professors:
- Tan Lip-Bu Professorship in Artificial Intelligence
- Yidan Professorship in Artificial Intelligence
The chosen candidates will offer vision, leadership, and a strategic roadmap to drive transformative changes in AI. They will also engage faculty across various colleges, aiming to secure competitive foundational and/or interdisciplinary research funding from both public and private sectors. Their overarching objective is to position NTU as a global hub of excellence in AI research and education. We seek individuals with a distinguished international reputation and a proven track record of leadership in AI research and education. Ideal candidates should demonstrate deep expertise in AI, alongside a strong ability to inspire, lead and work collaboratively. Responsibilities include conducting groundbreaking research in the theory and/or practice of AI.
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Founding Engineer
The Interaction Company of California, Inc. Interaction is looking for exceptional AI engineers to join our team in California as Members of the Technical Staff. We are well-funded and only hiring the very best.
... Link:https://interaction.co/jobsSee More >>
Machine Learning Engineer - Post-training/Agents
Convergence About Us At Convergence, we're transforming the way AI integrates into our daily lives. Our team is developing the next generation of AI agents that don't just process informat... ion but take actions, learn from experience, and collaborate with humans.
The Role We are looking for talented ML engineers and researchers to join our team and focus on training models which power Proxy, our generalist agent.
You will work with a small team — equipped with lots of GPUs – to train models, including multi-modal vision LLMs and action models.
You will also be laying the foundations of machine learning engineering at Convergence, utilising tools and best practices to improve our ML workflows.
Responsibilities Your role will span the full stack of model training, including:
Implementing and testing different fine-tuning and preference learning techniques like DPO
Building datasets through scrappy methods, including synthetic data pipelines, data scrapers, combining open source datasets, and spinning up data annotations
Conducting experiments to find good data mixes, regularisers, and hyperparameters
Requirements Direct experience training LLMs or VLMs with methods such as distillation, supervised fine-tuning, and policy optimisation
Experience with large-scale distributed training and inference
Experience debugging ML systems and codebases
Proficiency in frameworks like PyTorch
Strong general foundations in software engineering, with an interest in non-ML software too – doing whatever it takes to build incredible models as a small team
Why Join Us? Be at the cutting edge of AI and foundation models
Work on challenging problems that impact users' daily lives
Collaborative and innovative work environment
Opportunities for professional growth and learning
turba AI We are looking for a System Engineer with strong programming skills in C/C++ and familiarity with distributed systems and artificial intelligence. Experience with DevOps/MLOps pra... ctices and additional programming languages ist a plus.
turba AI We are looking for an Algorithmic Developer with a deep understanding of algorithmns, data structures and optimization techniques. The ideal candidate will have the ability to eff... iciently code algorithms, analyze optimization results and runtimes and translate real world problems into mathematical optimization problems. Familiarity with functional programming, type theory, category theory ans mathematical proofs ist highly desirable.
turba AI To support pur team, we are looking for a motivated ML Engineer with expertise in in the parallelization, production and edge deployment of deep learning models. You will undertak... e innovations to crafting novel solutions for large scale datacenters and execute their implementations in cooperation with other involved departments. Learning new skills together with the willingness to grow into new technical areas ist very important.
The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to code LLM, multi-modal LLM (video... /image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.
The Main Job Directions
- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities. - Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance. - Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency. Qualifications
- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, ACL, EMNLP, OSDI, NSDI etc.) in machine learning (ML), natural language processing (NLP) and other fields. - Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred. - Research experience in the field of machine learning, especially in large language models (LLMs). generative artificial intelligence. - (Preferred) Excellent problem analysis and solving skills, and passionate about solving challenging problems. - (Preferred) Experience on pre-training and post-training (or reinforcement learning) for Code LLM. - (Preferred) Passionate about technology, good communication skills and teamwork spirit.
Please directly reach out to Qian Liu (TikTok) if you are interested in this job!
Link:
None
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ML Engineer, Medical Foundation Model
Vista Do you dream of pushing the boundaries of medical imaging? At Vista, we are enabling technologists to perform accurate, high-quality MRI exams within a consistent and rapid timefr... ame by automating and simplifying the image acquisition process.
In this role, you will: Build medical foundation models with multi-modal understanding to incorporate patient records, images, and reports. Identify new opportunities for applying learning techniques within our unique imaging platform. Interact with customers and external researchers via presentations and publications. Qualifications and Skills Strong grasp of various machine learning/statistical modeling techniques and data analysis tools Strong experience with Python Collaborative and a self-motivated problem solver Desired Characteristics M.S. with 3+ years experience working in industry or Ph.D. in a related field. Experience with medical imaging. Experience with software development processes in a regulated industry.
GenseeAI GenseeAI (gensee.ai) is a pre-seed startup specializing in generative-AI workflow infrastructure. We are building a comprehensive optimization and serving stack tailored for gen-A... I workflows, such as LangChain and DSPy multi-agent applications. Join our world-class team led by Prof. Yiying Zhang at UCSD with 15+ years of experience in large-scale systems, alongside her PhD student and industry veterans from Google and Snap, who have built and released AI products with hundreds of millions of users.
We're looking for passionate and talented founding engineers with expertise in generative AI, distributed serving, inference systems, and/or cloud computing to join us on this exciting journey. You'll be contributing to the development of our core gen-AI platform, focusing on areas like workflow optimization, distributed computing, model serving, AI safety, and data management. You will also have the opportunity to contribute to open-source and research projects and work on their commercialization. You'll play a key role in shaping our engineering culture and best practices. Finally, you'll grow with us by taking on significant ownership and responsibilities in a fast-paced, dynamic environment. We offer a competitive salary, comprehensive benefits, and significant founding engineer equity - become an owner in the company you help to build!
Link:https://gensee.aiSee More >>
AI4Science -- PhD, Postdoc, Senior Scientist Positions at IAS-9
Research Center Jülich (FZJ) The IAS-9 at Forschungszentrum Jülich seeks candidates with strong ML/AI expertise to tackle scientific challenges in the physical sciences. Research areas include XAI, foundation... models, causal inference, and physics-informed or hybrid modelling, with applications to complex scientific datasets, simulation-driven problems, and inverse modeling in physics, engineering, and materials science. Join IAS-9’s multidisciplinary team at the forefront of AI4Science, where ML/AI experts, physicists, software developers, materials scientists, and engineers collaborate to tackle complex scientific challenges.
Link:https://www.fz-juelich.de/en/ias/ias-9See More >>
JPMorganChase AI Research -- Full time Researcher
J.P. Morgan Chase Happy to announce that we are hiring a full-time researcher for JPMorganChase AI Research Synthetic Data Team: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/site... s/CX_1001/job/210581146/?utm_medium=jobshare Looking for strong expertise in one or more specialized areas of relevance to AI in Finance, e.g., synthetic data, generative AI, protecting our customers, clients, and institutional knowledge (for e.g., differential privacy, machine unlearning, membership/reconstruction attacks) and developing risk and auditing frameworks for sharing data and communications for different stakeholders, LLM alignment, watermarking.
Recent PhDs/graduating soon are highly welcome to apply. The position is located in the US and NYC is preferred and is available
JPMorganChase AI Research -- Multiple Intern Positions
J.P. Morgan Chase JPMorganChase AI Research is actively looking for interns for the Summer of 2025 in all areas of AI for finance in the US, UK, Paris, Madrid.
Our US internships last up to ... 4 months and start in May or June. Our UK, Madrid and Paris“off-cycle” internships last 3 to 6 months and can begin throughout the year.
For specific areas/topics feel free to get in touch with our JPMorgan AI Research team at NeurIPS as below:
AI Agents (multi-agent systems, RL, multi-modal) – Rachneet Kaur, Alan Mishler, Benjamin Evans
Synthetic Data, Time Series – Niccolo Dalmasso, Elizabeth Fons
Privacy Preserving AI & Cryptography – Alex Bienstock, Harish Karthikeyan, Akira Takahashi
Trustworthy AI – Freddy Lecue and Salim Amoukou
Foundation models – Nelson Vadori and Natraj Raman
NLP (Core NLP, Multimodal Understanding, Reasoning-enhanced LLM, Programming Code Understanding), Behavior (Bandits/RL, Incentivization, Preference elicitation), Optimization, Knowledge Management and Planning – Vamsi Potluru
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Generative AI Product Specialist
Databricks, Inc As the Product Specialist for Generative AI, you will lead the enablement, expertise, and backline support for our customer-facing field team with for Generative AI including supp... orting RAG (retrieval augmented generation), open source models like Llama2, MPT, Mistral, 3rd party models including OpenAI, Vector Indexing and foundational model pre-training using MosaicML.
You will partner with the Product Manager(s) to co-lead the product adoption targets and help to define the product direction and inform our product strategy with our go-to-market field teams.
TSMC TSMC is seeking applications for skilled AI Research Scientists for their Artificial Intelligence for Business Intelligence (AI4BI) Center. The AI4BI Center is a global and intern... ational team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. Individuals in this position may be responsible for tasks across two technical areas. The first is implementing significant machine learning, deep learning, text mining, LLM, foundation model, and/or network science-based approaches to extract insights from structured (e.g., transactional) and unstructured data (e.g., 10K reports, social media, news) for BI. Second, the position may require efforts in developing time series modelling and/or reinforcement learning-based approaches for effective wafer start strategies. This role requires close interaction and coordination with international teams of research scientists, data engineers, and business stakeholders to gather requirements, oversee development, evaluate technical solutions, produce internal reports, and co-author publications at top-tier AI venues.
Minimum Qualifications -Ph.D. in computer science, information systems, information science, statistics, industrial engineering, or related AI or machine learning field in the past 1-2 years -Hands-on research experience with time series modeling and forecasting with statistical, machine learning, deep learning-based, and/or foundation model (TimesFM) approaches -Hands-on research experience with reinforcement learning approaches, including value-based, policy-based, actor-critic, and/or multi-objective -Experience fine-tuning LLMs and other foundation models -Experience with prompt engineering on LLMs and other foundation models with techniques such as reinforcement learning DPO, PPO, prompt tuning, etc. -Must be willing to travel to Taiwan for at least 1-3 months each year for training, team building, and project coordination
Link:https://careers.tsmc.com/en_US/careers/JobDetail/AI-Research-Scientist-6239/15111#See More >>
AI Research Scientist
Accenture ‼️update: Our team will be at Lot 185 Café, located inside the convention center, from 1:30 PM to 3:00 PM PT, Wednesday through Friday. We invite you to stop by and chat with us a... bout the role and explore further details.
🌟 Hiring at #NeurIPS 🌟
We’re headed to Vancouver for #NeurIPS 2024 next Monday! Join us (Zichao Li, Alireza Rezazadeh, Wei Wei, Lan Guan) from December 9th to 15th to see how Accenture is at the forefront of applying generative AI in industry, making a real-world impact.
We’re excited to showcase our latest research: “From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs.” In this work, we introduce 🌳 MemTree, an algorithm that uses a dynamic, tree-structured memory representation to enhance the organization, retrieval, and integration of information—similar to human cognitive schemas. MemTree hierarchically organizes memory, with each node containing aggregated textual content, corresponding semantic embeddings, and varying abstraction levels. By dynamically adapting this structure through the comparison of new and existing semantic embeddings, MemTree enriches the model’s context-awareness, enabling it to manage complex reasoning and extended interactions more effectively than traditional methods, which often rely on flat lookup tables.
We’re actively hiring research scientists who are passionate about impactful AI research. If that sounds like you, register for our coffee chat sessions and dinner events during NeurIPS.
Senior Research Scientist, Machine Learning (Remote)
Clarifai As a member of our Research Team, you will apply the latest academic insights to practical applications, pioneering solutions that shape the future of Clarifai’s AI platform. Your... role involves pushing the boundaries of what’s possible in AI/ML today, transforming the latest academic research into practical, scalable solutions. Collaborating closely with our MLOps, Engineering, Professional Services, and Product teams, your work will not only enhance our existing products and have direct impact on our customers, but also pioneer new directions for Clarifai’s AI capabilities. Your deep learning expertise, particularly in CV, NLP, and multi-modal AI, will be crucial in driving our product innovation and strategic vision. You will keep up with state-of-the-art advances through continual learning, internal research projects, conference attendance, and collaboration with academic and industry partners.
We are looking for someone motivated by having their ideas and creations out in the world in the hands of users and who shares our excitement about the potential of AI/ML to positively transform our world. We value a collaborative, inclusive environment and seek those who are skilled at sharing knowledge inside and outside of Clarifai.
Key Responsibilities:
- Lead and participate in R&D initiatives in new research domains, particularly in CV, NLP, and multi-modal AI to augment Clarifai’s product capabilities and meet customers’ unique needs. - Engage in rapid prototyping and experimental methodologies to fast-track innovation. - Develop clear, maintainable code that can be adopted and extended by others. - Adhere to best engineering practices, including source control management, code reviews, and test-driven development. - Foster a collaborative and inclusive environment, sharing knowledge and insights within and beyond Clarifai.
Link:https://job-boards.greenhouse.io/clarifai/jobs/6455462?gh_jid=6455462See More >>
Votee AI We’re establishing a cutting-edge AI research lab in Toronto, focusing on LLM and their applications in low-resource languages, multimodal research, embodied models, and industry ... adoption. We’re seeking for exceptional AI Research Engineers with expertise in LLM to join our team.
Responsibilities: - Develop and evaluate LLM for low-resource languages - Design and implement multimodal and embodied models - Collaborate with industry partners to adopt LLM solutions in their products and services - Publish research papers on LLM-related topics in top-tier conferences and journals - Develop and maintain open-source libraries, tools, and datasets for LLM research
Requirements: - Master’s or Ph.D. degree in Computer Science, Linguistics, Cognitive Science, or related fields - Strong background in machine learning, deep learning, and NLP - Experience with LLM frameworks such as Hugging Face Transformers, PyTorch, TensorFlow, and/or other relevant libraries - Familiarity with multimodal models, embodied AI, and low-resource languages is a plus - Excellent research skills, including designing experiments, analyzing results, and publishing papers - Strong communication and collaboration skills to work with cross-functional teams - Fluency in written and spoken English; proficiency in other languages (e.g., Cantonese, Mandarin, Vietnamese...) is welcome
What We Offer: - Competitive salary and benefits package - Opportunities to work on cutting-edge AI research projects with industry partners - Collaborative and dynamic work environment in our Toronto office - Professional development opportunities, including conferences, workshops, and training programs - Flexible work arrangements, including remote work options
How to Apply: Please submit your application to tech@votee.ai with the following: - CV - Link to your GitHub/StackOverflow account - Link to your research publications or projects
Link:
None
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Postdoc in BioAI at Los Alamos National Laboratory ( U.S. citizenship required)
Los Alamos National Laboratory We have openings for US citizens with background in AI/ML. The postdoc will work with a team of scientists from both LANL and other DOE labs to solve challenging bio-focused probl... ems.
Link:
None
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Cambridge Residency Programme – Postdoctoral Researcher – Multimodal Deep Learning for Healthcare – Microsoft Research
Microsoft Research Microsoft Research Health Futures UK conducts world-class research at the intersection of AI and healthcare, drawing on deep expertise in biomedical imaging and multimodal deep le... arning. We are seeking a motivated postdoctoral researcher to join our vibrant team of researchers and engineers.
PhDs and postdocs data-centric multimodal health in Copenhagen
IT University of Copenhagen (Please note that the vacancies are not online yet, if you might be interested please send me an email or find me at the conference)
What: • Multimodal health data 🏥... r>• Data quality, evaluation metrics ⭐ • ML competitions 📈 • Diversity and inclusion in ML education 🌈
When: • Vacancies online +/- March 2025 • Application deadline +/- July 2025 • Positions start from October 2025 (flexible) See More >>
Seeking PhD Students for efficient LLM finetuning/inference and trustworthy AI research
University of Calgary The Calgary ML Lab is looking for PhD students starting from Fall 2025. PhDs are fully funded and in Calgary, Canada, ranked in the top-5 most livable cities worldwide by the EIU....
Topics of interest broadly include LLMs through the lens of sparse finetuning, sparse/efficient inference, reasoning, trustworthy AI (fairness and security), etc.
We have 6 works being presented at NeurIPS by 6 different students in the lab showcasing our research, so feel free to visit one of those works to find out more about our lab/our research. You can also reach out to myself or any of my students directly.
Full schedule of the Calgary ML Lab’s research at NeurIPS (also posted on lab website linked above):
Microsoft Research Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challen... ges in the molecular sciences with deep learning.
For our lab Berlin, Germany or Cambridge,UK-we are seeking exceptional Machine Learning Researcher candidates for a moonshot project in the field of molecular biology. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
I’m looking for technically strong and self-motivated students to join my lab at Purdue University. My lab will focus on developing novel machine-learning architecture... s and algorithms to support robot learning and human-robot collaboration in the diverse and unstructured environments that will be encountered by these agents in the real world. Please reach out if interested.
Formally, please apply to Purdue CS, and mention my name in your application (you are welcome to shoot me an email early at rpaleja {at} purdue.edu). For other roles, please reach out directly and email your CV.
Link:https://www.rohanpaleja.com/See More >>
Researcher - Machine Learning and AI
Microsoft Research, India Microsoft Research India is inviting applications for researcher and post-doctoral researcher positions. A research position at Microsoft Research India offers an opportunity to b... e at the forefront of Computer Science research and technology development, and work with world class colleagues on meaningful research problems. We are looking for exceptional candidates with a demonstrated track record in AI/ML, including developing new models, scalable ML architectures, systems support for such workloads, and innovative large-scale applications of ML models. Projects in the lab are inter-disciplinary and span across research areas such as artificial intelligence, machine learning, natural language processing, information retrieval, systems, theory, and related areas
Qualifications
Ph.D. in Computer Science or related disciplines
Additional Qualifications:
A well-established research agenda as evidenced by high quality publications. A track record of innovation and impact that is commensurate with experience and seniority.
Responsibilities
As a Researcher, you will collaborate with other researchers and Microsoft product development teams to:
Advance the state-of-the-art and publish research openly in prestigious venues. Influence Microsoft products and catalyze the design of new products used by billions of users. Drive research end-to-end towards meaningful impact.
Link:https://jobs.careers.microsoft.com/global/en/share/1770132/?utm_source=Job Share&utm_campaign=Copy-job-share
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Researcher/Analyst: China's AI Ecosystem
ChinaTalk ChinaTalk is a podcast and newsletter that covers US-China relations and technology policy for a global audience of over 50,000 weekly readers. In recent years, we've gone in dept... h on AI developments in the US and China, and in 2025 we're hoping to grow into the leading outlet for English-language coverage of China's AI ecosystem.
We're inspired by new platforms like: Interconnects: synthesis of new developments in AI research perspective Supervised News: deep industry coverage of evolving AI market dynamics
Responsibilities Conduct independent research and analysis on China's leading AI labs and models Write engaging English-language articles Requirements A self-starter, able to generate story ideas and run them down relatively independently HSK6+ or native fluency required 2-10 yrs of experience, some technical background preferred
eBay we are hiring a senior RAI scientist! If you are on the AI job market and looking for a role with a fun team powering AI experiences for the circular economy, find me to learn mor... e about the role at eBay!
JPMorganChase As a Machine Learning Scientist - Speech AI and NLP - within the Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning metho... ds to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Citadel We are often looking for strong Machine Learning Applied Scientists and Engineers to join our Commodities business. Such roles would involve solving various machine learning probl... ems (statistical, computer-vision, NLP), conducting autonomous research, and implementing novel approaches with a commercial focus. The roles would provide the opportunity to collaborate with multiple investment teams and improve our analytical processes by leveraging data and discovering new insights. We are interested in candidates from across the experience spectrum, from recent graduates to experienced industry professionals. If you are interested, please share your resume and we will contact you if and when there is an open opportunity that you may be qualified for. Essential skills – In depth knowledge of at least one machine learning branch (Generative modeling/Video Modeling/Representation learning/NLP+LLM/Reinforcement Learning) – Proven track record of leveraging deep learning by publishing at top AI conferences / outstanding commercial projects – Excellent Python coding – Demonstrated knowledge of machine learning programming frameworks, such as PyTorch, Jax and TensorFlow – Outstanding analysis, problem-solving skills, and tenacity to discover – Strong written and verbal communication skills on both technical and non-technical topics – Good knowledge of statistics – Willingness to work full time in-office due to role requirements Beneficial skills – Industry experience of delivering end-to-end deep learning-based product – PhD / master’s degree – Large-scale distributed models training experience – Basic understanding of commodity and/or financial markets
Link:https://www.citadel.com/careers/details/commodities-machine-learning-engineer/#:~:text=We%20are%20often%20looking%20for,approaches%20with%20a%20commercial%20focus.
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Applied Causality Quant Researcher
ADIA Apply causal discovery methods to build more robust investment strategies.
Come talk to us at Booth B128
... r>
Link:
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BioPhy’s research arm is at the forefront of developing quantitative methods to enhance the drug development process post-discovery. We believe that th... e current lack of modern tools during this critical phase is a significant bottleneck in bringing new therapies to market. Our mission is to identify and address these bottlenecks across various areas, including drug repurposing, clinical trial optimization, regulatory language interpretation, and more. By providing novel and creative solutions, we aim to benefit scientists, patients, doctors, and companies alike, streamlining the path from drug discovery to approval.
About the role:
We are seeking a Research Scientist to join our small, fast-paced, and ambitious research team. The ideal candidate will be a flexible self-starter with a penchant for independent thought and the formal technical expertise to back up and explain their work. We value creativity, rigor, and thought leadership in our pursuit of applying quantitative tools to solve problems in the drug approval process.
Our new team member will need:
Ph.D. or Master’s Degree (with commensurate experience) in Mathematics, Physics, Statistics, Biostatistics, Bioinformatics, Applied Mathematics, Computer Science, or other quantitative fields
Fluency and experience in Python; proficiency in other quantitative languages (e.g., R, MATLAB, Julia, Stata, C) is a plus
Expert understanding of linear algebra, probability, and statistics
Demonstrated ability to work independently across various fields and topics
Strong quantitative abilities
Strong candidates may also have:
Experience in drug discovery or biological representation learning
Rigorous understanding of machine learning and statistical learning theory
Expert understanding of probability theory and statistics
Demonstrated flexibility in applying skills across different fields
Global Quantitative Strategies | Quantitative Researcher
Citadel | Citadel Securities Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using sophisticated data analysis skills to build predictive models, driving constru... ction of a complex multi asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS. Learn more about us here. Required Skills and Qualifications: Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related field Proven ability to conduct innovative and impactful research focused on solving real-world problems Relentless focus on continuous learning and making an impact; ability to question the status quo Strong mathematical and statistical modeling skills (e.g., time-series and cross-sectional analysis) Proficiency in coding (C++ or Python preferred) Demonstrated passion for financial markets and driven to analyze and model drivers of price formation and risk In accordance with New York City’s Pay Transparency Law, the base salary range for this role is $200,000 to $300,000. Base salary does not include other forms of compensation or benefits.
Link:https://www.citadel.com/careers/details/global-quantitative-strategies-quantitative-researcher/See More >>
Genentech MLE for developing an internal LLM product in Genentech / Roche. The product is for biomedical applications and drug discovery. No biology background required. In-domain tex... t data and multimodal data, agent, etc.
Focused on product development and enabling our scientists & other employees to unlock things better and faster.
The attached link is a bit more senior position but other information is very relevant. In this app, I’m more looking for: - master grads with 0-2 experiences OR fresh phd grads - those who are okay without publishing papers
Must: - understanding in ML and LLMs - relocation to NYC
Google we are customization and agent quality team at Google Cloud AI, we have positions at all levels, full time and student researchers and interns to build quality recipes and referen... ce solutions for enterprise customers, to develop and evaluate: LLM tuning, distillation method agent orchestration methods
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PhD position on LLM privacy (University of Virginia)
University of Virginia We are looking for a strong candidate to work on LLM privacy. Topics also include differential privacy and optimization. Contact me if interested in this opportunity!
... Link:https://nandofioretto.github.ioSee More >>
bitHuman At bitHuman, we are creating world’s first realistic interactive human-like visual agents. Imagine Einstein can be your physics teacher.
We are looking for AI researcher en... gineers to develop interactive agents for our enterprise, retail, education and other use cases.
Link:www.bithuman.ioSee More >>
PhD positions on genAI for science (University of Virginia)
University of Virginia We are hiring in the scope of generative AI (LLMs, diffusion models, flow matching) for scientific applications! This is an exciting domain! Topics also include discrete optimizat... ion and reasoning.
Link:https://nandofioretto.github.ioSee More >>
Post doc position in Game Theory @ Bocconi Milan, Italy
Bocconi university I am looking for a postdoctoral researcher in online learning and computational game theory to join my team at Bocconi University in Milan, Italy. The position is funded through m... y ERC Starting Grant, and the start date is flexible in 2025.
The ideal candidate will have a strong focus on theory-driven research and an excellent publication record in leading venues such as NeurIPS, ICML, and EC.
Encord About Encord Encord empowers AI teams with superior data. We build AI infrastructure that simplifies and accelerates data management, a critical step in successful AI developme... nt. Our platform is designed to improve data quality, efficiency, and ultimately, the performance of AI models.
The Role As a Research Scientist, you’ll leverage multi-modal LLMs to unlock the full potential of our platform’s data. You’ll develop innovative solutions to enhance data analysis, improve user experience, and empower our customers to build exceptional AI models.
What you will be doing: * Build and fine-tune LLMs for advanced data analysis and insights. * Develop personalized LLM solutions for each customer. * Create cutting-edge RAG systems for diverse data types. * Stay at the forefront of ML research to continuously improve our platform.
Skills for the job * PhD or equivalent in machine learning with LLM expertise. * Proficiency in PyTorch, TensorFlow, JAX, and/or data science tools. * Strong understanding of transformer models and their applications. * Excellent communication and problem-solving skills.
What We Offer * Competitive salary, equity, and a comprehensive benefits package. * Collaborative team environment and opportunities for professional growth. * Engaging company culture with regular social events and team outings.
Encord Encord builds AI infrastructure that solves the data quality challenges facing AI companies. We’re a high-growth company backed by top investors, developing cutting-edge tools to ... accelerate AI development.
As a Machine Learning Scientist at Encord, you’ll focus on data automation, developing innovative solutions to streamline data development for customers across various industries. You’ll leverage machine learning techniques to improve labeling, routing, and sampling processes, ensuring efficient and successful AI projects.
Key Responsibilities: * Develop and implement data automation solutions. * Conduct research and apply advanced ML techniques to improve customer outcomes. * Collaborate with cross-functional teams to deliver impactful solutions.
Qualifications: * Strong background in machine learning, with experience in computer vision. * Proficiency in PyTorch, TensorFlow, JAX, and data science tools. * Excellent communication and problem-solving skills.
Benefits: Competitive salary, equity, comprehensive benefits, and a collaborative work environment.
Intact Financial Corp We are seeking an experienced Data Scientist II with a specialized focus on Natural Language Processing (NLP) to join our dynamic team.
Key Responsibilities:
Collab... orate cross-functionally with Data Engineering, MLOps, and development teans .
Design and develop complex analytical projects, taking ownership from concept to deployment
Provide ongoing tracking and monitoring of the performance of decision systems and statistical models.
Utilize machine learning and advanced analytical techniques to create scalable solutions for business problems.
Stay updated with the latest advancements in NLP and LLMs, incorporating new techniques and tools into existing workflows.
Mentor junior data scientists and contribute to the development of best practices within the team.
Qualifications:
Master’s degree (Ph.D. preferred) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Minimum of 2-3 years of experience in data analysis or a related field, with a strong focus on NLP and machine learning.
Extensive experience using Python for data analysis and modeling.
Experience with AWS tools such as SageMaker and S3.
Deep understanding and hands-on experience with NLP techniques and tools.
Experience in working with and fine-tuning Large Language Models (LLMs).
Proficiency in using query languages such as SQL.
Strong understanding of machine learning algorithms and concepts.
Experience with data visualization tools like Power BI.
Excellent problem-solving skills, data analysis skills, and a passion for big data.
Exceptional communication, time management, work organization, and presentation skills.
If you have a passion for data science and are eager to lead innovative projects in NLP, we would love to hear from you.
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Research Scientist - Synthetic Data
Encord Encord empowers AI teams with superior data. We build AI infrastructure that simplifies and accelerates data preparation, a critical step in successful AI development. Our platfor... m is designed to improve data quality, efficiency, and ultimately, the performance of AI models.
As a Research Scientist at Encord, you’ll focus on synthetic data generation, developing innovative solutions to expand customer datasets efficiently. You’ll leverage cutting-edge techniques like Stable Diffusion and GANs to generate high-quality synthetic data across various domains, such as healthcare and geospatial.
Key Responsibilities: * Develop and refine deep learning models for synthetic data generation. * Explore novel methods for conditioning data generation to meet specific requirements. * Conduct research and apply advanced ML techniques to improve synthetic data quality. * Collaborate with cross-functional teams to deliver impactful solutions.
Qualifications: * PhD or equivalent in machine learning with expertise in synthetic data generation (e.g., Stable Diffusion, GANs). * Proficiency in PyTorch, TensorFlow, JAX, and data science tools. * Excellent communication and problem-solving skills.
Benefits: Competitive salary, equity, comprehensive benefits, and a collaborative work environment.
Intact Finantial Corp We are seeking a Data Scientist I with a focus on Natural Language Processing (NLP) to join our team.
Key Responsibilities:
Hybrid work environment, candidat... e should be in Vancouver or Calgary, Canada.
Understand specific businesses challenges and address them using predictive or analytical techniques.
Assist in the design and development of complex analytical projects.
Collaborate cross-functionally with data engineers, DevOps/MLOps, Business Stakeholders, Data Scientists, and other stakeholders to implement models and monitor outcomes.
Use machine learning and analytical techniques to create scalable solutions for business problems.
Qualifications:
Bachelor's degree (preferred Master's degree) in Computer Science, Data Science, Statistics, Mathematics or a related field.
Minimum of 1-2 years of experience in data analysis or a related field.
Strong experience using Python for data analysis and modeling.
Experience with AWS tools such as Sagemaker and S3.
Familiarity with NLP techniques and tools.
Proficiency in using query languages such as SQL and experience with Snowflake.
Experience with machine learning algorithms and concepts.
Experience with data visualization tools like Power BI.
Strong problem-solving skills.
Excellent communication skills.
If you have a passion for data science and NLP, we would love to hear from you.
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Amazon We are hiring a postdoctoral scientist, working on LLM-based agents.
The role is based in Seattle, Washington. It is open to those who will graduate with a PhD soon, or hav... e graduated in the last 2 years.
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Machine Learning Engineer
Boson AI Boson AI is an early-stage startup building large language tools for interaction and entertainment. Our founders, Alex Smola, Mu Li, and a team of Deep Learning, Optimization, NLP... , AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond.
We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on modeling and training LLMs, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. Responsibilities
Design and verify novel model architectures and training objectives. Investigate novel model alignment algorithms. Write efficient and clean code for ML training. Conduct large-scale experiments to verify the modeling choices and identify improvement areas. Experience
Summarize results and clearly communicate the motivations and observations in your work Proficiency in at least one deep learning framework, such as PyTorch. Participation in at least one research project related to LLM or multimodal models, e.g. experience in training or fine-tuning them. Experience in alignment research Experience in large-scale distributed model training Experience in writing GPU kernels in CUDA Qualifications
PhD or Master’s degree with solid scientific contributions Active GitHub repository Active scientific track record Excellent problem-solving skills $150,000 - $600,000 a year Total compensations includes base pay, equity, and benefits. We have a 401k plan, HSA, FSA, free food (even dried mangoes).
Link:jobs.lever.co/bosonaiSee More >>
[techbio startup] multiple research/engineering openings in self-supervised learning, causal inference, biostatistics and survival analysis
Ataraxis AI Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physic... ians in selecting the most optimal treatments for their patients.
We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields.
At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.
IT:U—Interdisciplinary Transformation University Austria The IT:U NLP Lab at IT:U—Interdisciplinary Transformation University Austria is offering two postdoctoral researcher positions and three PhD positions. If you’re passionate about ... cutting-edge research in LLM Governance, Computational Argumentation and Fact-checking, NLP4Science, or Knowledge & Reasoning, we encourage you to explore these opportunities. Please visit the IT:U NLP Group's page for more details: https://it-u.at/en/research/research-groups/natural-language-processing/.
We value demonstrable experience with open-source projects, and the ability to collaborate effectively with researchers from diverse interdisciplinary backgrounds. Prior experience with relevant areas of NLP and machine learning, along with strong engineering skills, is highly desirable. We offer a supportive environment for collaboration, including opportunities for international partnerships and industry engagement.
What we offer Our compensation package is competitive, with a gross salary aligned with market standards: starting from €3,578.80 per month for PhD-level candidates, and ranging from €4,752.30 to €5,211.80 for junior and senior PostDocs, based on a 40-hour full-time contract (paid 14 times annually). Additionally, employees enjoy a free KlimaTicket, granting access to all modes of public transportation throughout Austria, as well as complimentary coffee and snacks in the workplace.
Relation Therapeutics Join our leading-edge machine learning team as a Machine Learning Scientist and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our t... eam is at the forefront of developing experimentally validated machine learning methodologies, transforming biobank-scale genetics data (from genotyping arrays to whole genome sequence) into actionable disease risk genes for drug discovery. Leveraging data from external biobanks like the UK Biobank (UKB) and our proprietary Osteomics clinical trial, we're unlocking new frontiers in genetics.
As a Machine Learning Scientist at Relation, you'll be an integral part of our interdisciplinary team, collaborating with Data Scientists, Computational Biologists, Machine Learning Engineers, Data Engineers, and experimental scientists. Your role involves driving our strategic priorities in machine learning and contributing to the development of our proprietary technologies. This includes actively participating in the design and execution of cutting-edge machine learning projects, utilising the latest methods, and engineering best practices. Your expertise will span traditional ML methods as well as modern advancements like graph convolutional neural networks, graph attention networks, and transformers. Based at our wet / dry lab and headquarters in central London, you'll tackle the unique challenges presented by our large models and vast datasets.
In the role, you'll leverage your experience from high-performing ML research groups, adhering to our engineering standards and practices. Collaborating with senior group members, you'll engage in basic ML research and establish a presence in the external ML community through publications at major conferences (including NeurIPS, ICML, ICLR, and AISTATS) and technical blogs. As an established NVIDIA partner and collaborator, we offer access to cutting-edge resources, supporting your efforts to drive innovation and grow.
Link:https://www.relationrx.com/careersSee More >>
Applied AI Researcher (Multi-agent systems)
Distyl AI Keywords: compound AI systems, multi-agent systems
Looking for creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an exist... ing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
Link:
None
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Machine Learning Scientist (multiple roles)
McAfee Summary of Job Description
This role involves developing and deploying advanced machine learning (ML) models to drive personalized recommendations, dynamic pricing strategi... es, and consumer value. Key responsibilities include creating scalable consumer behavior feature stores, building data pipelines, and optimizing ML solutions for business impact. Collaboration with cross-functional teams (e.g., Marketing, Product) is essential to align strategies and validate models through controlled experiments (A/B testing).
The ideal candidate should have 7-9 years of experience in ML, recommendation systems, and AI, with proficiency in Python, SQL, and Big Data tools (e.g., Hadoop, TensorFlow, PyTorch). Expertise in classical ML techniques (e.g., regression, clustering) and advanced frameworks is required, along with intermediate data engineering and MLOps skills. Experience in building recommender systems and pricing models is a must.
Link:
None
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AI / ML Engineer - Agents for Software Development
iGent AI Agents for Software Development New start-up, Top team
Do you want to change how programming is done, and what software is? Are you an AI / ML engineer or researcher, exper... ienced software engineer (4+ years), or senior full-stack? Be one of the first to build the next generation of LLM coding agents!
Our system significantly surpasses the state of the art on coding benchmarks, handles codebases with thousands of files, and codes itself.
We are an experienced team, consisting of ex-DeepMind, ex-Microsoft Research, & seasoned entrepreneurs. While our system is still in stealth, we are backed by top venture-capital firms. Based in London, UK, in-person preferred, but experienced members can work remotely some of the time.
Email us about yourself, to meet Sean, Martin, Sam and Maxime at NeurIPS until Monday noon: info@igent.ai Include a CV if possible, and phone number for short-notice meetings.
Link:https://igent.ai/join-usSee More >>
Multimodal LLM engineer
Chan Zuckerberg Biohub San Francisco The Chan Zuckerberg Biohub (CZ Biohub SF) is seeking a highly skilled and motivated Research Scientist to lead the development of state-of-the-art multimodal large language model ... (LLM) agents and web interfaces that will enable breakthrough research and discoveries in biology. The ideal candidate will have established expertise in machine learning, generative AI, and development of multimodal LLMs. The successful candidate will report directly to the Director of Computational Biology at CZ Biohub, San Francisco.
You will
Design, develop, and implement multimodal LLMs that integrate textual and multi-omic data Lead the research and development of novel algorithms to process and align scientific literature with biological datasets for downstream analysis Collaborate closely with computational biologists and experimental scientists to understand domain-specific challenges and optimize model performance Drive innovative research to publish in top-tier AI and computational biology journals and present at conferences
You have
Required –
PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics or a related field; or Masters with equivalent experience 3+ years of experience with Python and relevant deep learning libraries (e.g., PyTorch, TensorFlow) 3+ years of experience in designing and deploying large-scale language models or multimodal AI systems Expertise in natural language processing (NLP), deep learning, and model training techniques Proven track record of impactful publications and conference presentations in relevant areas Excellent problem-solving skills and ability to work in an interdisciplinary environment
Nice to have -
Experience in integrating and aligning heterogeneous data sources (text, omics, images) for AI-driven applications Familiarity with scientific literature databases (e.g., PubMed, arXiv) and bioinformatics tools Experience with high-performance computing (HPC) environments and cloud-based AI platforms
Link:https://www.czbiohub.org/comp-biology/tools-resources/See More >>
ML Data Engineer (Feature Engineering ETL)
McAfee Summary of Role: ML Data Engineer at McAfee
McAfee seeks an ML Data Engineer to design and maintain scalable feature engineering pipelines for machine learning (ML) applica... tions. The role focuses on building robust ETL/ELT pipelines using Databricks, adhering to the medallion architecture (bronze, silver, gold layers), and supporting low-latency model serving in production. You will optimize data pipelines, integrate diverse data sources (e.g., user behavior, demographics), and ensure compliance with data governance standards.
Responsibilities include enabling model training, experiment tracking with MLflow, query optimization, and applying CI/CD best practices for seamless deployments. Collaboration with cross-functional teams is essential to align data workflows with business needs.
The ideal candidate has 4+ years of experience in ML-focused data engineering, strong expertise in Databricks, Apache Spark, Python, and SQL, as well as proficiency in building low-latency pipelines and managing metadata. A background in the ML lifecycle, including model experimentation and serving, is highly valued. This is a remote role open to candidates based in Canada.
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Applied Research Scientist
Firsthand About Firsthand
Firsthand is an AI agent platform designed for publishers and brands to leverage their data and content in direct conversational campaigns. These campaigns,... powered by custom AI agents, are distributed across platforms where consumers seek information online. Headquartered in NYC, Firsthand is led by digital advertising veterans and AI pioneers, with a team that collaborates in-office three days a week.
Role Overview
We’re seeking a driven Applied Research Scientist to advance our LLM/AI technology. In this role, you will experiment, develop, and deploy machine learning and large language model solutions, contributing to Firsthand's innovative AI infrastructure. This hands-on position is ideal for individuals who excel in dynamic startup environments.
Key Responsibilities
* Collaborate with engineers to research, develop, and deploy cutting-edge ML and LLM systems. * Manage the end-to-end lifecycle of ML systems, from concept to deployment and optimization. * Stay ahead of AI advancements to continuously improve system capabilities.
Qualifications
* 5+ years of experience in machine learning, with leadership expertise. Proficient in Python, ML frameworks, experiments, and MLOps tools. * Deep learning and reinforcement learning experience preferred. * Strong background in NLP/LLM systems in production. * Excellent communication and problem-solving skills. * Advertising or marketing-related experience is a plus.
Link:https://www.firsthand.ai/careers?ashby_jid=aee7a4f3-2f29-47d8-bf41-24c16dd27027See More >>
PhD and Postdoc Positions: Trustworthy Machine Learning
CISPA The SprintML Lab at CISPA is interested in various trustworthiness aspects of machine learning, in particular foundation models.
We have multiple openings for PhD and post... doc positions. Happy to chat about opportunities with us!
Ashoka University Come and learn more about the exciting growth and plans for computer science, data science, and related fields in the Ashoka School of Advanced Computing at Ashoka University in S... onipat, India. There are opportunities for teaching, research, and collaborations in all traditional and interdisciplinary fields of computer science by Ph.D. students, postdoctoral scholars, new and established faculty and researchers, and industry-based practitioners from around the world. Sandeep Juneja, Professor of Computer Science, and Director of the Centre for Data, Learning and Decision Sciences, is available for informational meetings on Tuesday, December 10, 2024, 4.00p – 6.00p, or Thursday, December 12, 2024, 4.00p – 6.00p at Giovane Caffè, 1049 West Cordova Street, Vancouver (at Fairmont Pacific Rim Hotel across street from Vancouver Convention Centre). For more information, WhatsApp +1 (203) 675 3595, or email george.joseph@ashoka.edu.in, or WhatsApp +91 99 6793 2124, or email sandeep.juneja@ashoka.edu.in Link:https://www.ashoka.edu.in/profile/sandeep-juneja/See More >>
Amazon - CreativeX AI Gen Org Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. Amazon’s advertising portfolio helps merchants, retail vendors, and brand owners succeed via ... native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.
As a MLE in the team you will: - Work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production. - Own end to end deployment at scale of Generative and ML methods. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative approaches to do efficient model deployment and training. - Document processes and methods for technical and non technical audiences. - Contribute to code reviews. - Mentor and help recruit MLEs to the team. - Present outcomes and explain approaches to senior leadership.
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Amazon - CreativeX AI Gen org Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. Amazon’s advertising portfolio helps merchants, retail vendors, and brand owners succeed via ... native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.
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Amazon - CreativeX AI Gen Org Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. Amazon’s advertising portfolio helps merchants, retail vendors, and brand owners succeed via ... native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.
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Applied Scientist Generative AI - Amazon Ads, CreativeX
Amazon - CreativeX AI Gen org Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. Amazon’s advertising portfolio helps merchants, retail vendors, and brand owners succeed via ... native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (image, video, copy) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), and related ML methods. You will be part of a close-knit team of applied scientists and machine learning engineers, who are highly collaborative and at the top of their respective fields.
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PhD Student - AI for a Sustainable Economy
University of Barcelona I am a Professor in the School of Economics at the University of Barcelona, and the Principal Investigator of a large European research project called MAPS (which is short for Mod... els, Assessment, and Policies for Sustainability).
I have an opening for a PhD student in my research group in one of two areas:
1. Applying machine learning techniques to improve economy-society-environment models.
2. Exploring how AI could contribute to achieving a sustainable economy.
If you are interested in either of these topics, feel free to reach out to me at the conference to chat, or send the following documents to the email address below: 1-page cover letter, 2-page CV, and transcripts of previous degrees. The subject of your email should be "AI PhD Barcelona".
Candidates must have top grades to apply to the PhD position.
Barcelona is a beautiful city on the Mediterranean, and UB is generally regarded as the top university in Spain.
Link:https://mapsresearch.euSee More >>
Machine Learning Engineer / MLOps Specialist
PersonalX.com, Inc. We are seeking a highly motivated Machine Learning Engineer or MLOps Specialist to join our team and help bridge the gap between applied research and production deployment of ML m... odels.
**Key Responsibilities:** - Collaborate with applied researchers to bring ML models to production - Set up and manage AWS infrastructure for ML model deployment - Implement and maintain MLOps best practices and tools
**Required Skills:** - Strong experience with AWS and related services for ML model deployment - Proficiency in setting up and managing user spaces on cloud platforms, e.g. AWS Sagemaker - Expertise in configuring and maintaining MLflow for experiment tracking and model management, or similar services - Experience with S3 for data storage and management - Solid understanding of ML workflows and lifecycle management
**Desired Skills:** - Experience with containerization technologies (e.g., Docker, Kubernetes) - Familiarity with CI/CD pipelines for ML workflows - Knowledge of monitoring and logging tools for ML systems - Experience with distributed training and large-scale model deployment - Proficiency in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch) - Familiarity with version control systems (e.g., Git)
**Qualifications:** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field - 3+ years of experience in MLOps or similar roles - Strong problem-solving skills and attention to detail
The ideal candidate will have a passion for operationalizing ML models and a track record of successfully bringing research prototypes to production. They should be comfortable working in a fast-paced startup environment and have the ability to adapt to new technologies quickly.
We offer competitive compensation, opportunities for professional growth, and the chance to work on cutting-edge ML projects as part of our founding team. If you’re excited about bridging the gap between ML research and production, we’d love to hear from you
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Postdoc at Mila in Aishwarya Agrawal's group
Mila, University of Montreal I am looking for candidates interested in pursuing a Postdoc position in my lab at Mila. Catch me at NeurIPS2024 or ping me on the Whova App if you are interested.
My lab's... focus is on multimodal vision-language research. Below are some example research topics that are of interest to me in the space of vision-language (including both image-to-text and text-to-image models): -- Visio-linguistic (fine-grained, compositional, knowledge based etc.) reasoning. -- Alignment with diverse cultural values. -- Data-efficient pretraining and instruction fine-tuning. -- Robust automatic evaluation. --Improving reliability, explainability and safety of model responses.
Technical Program Manager for Gemini APIs and AI Studio
Google -Bachelor's degree in a relevant field, or equivalent practical experience. -8 years of experience in program management. -6+ years of leading large-scale engineering proje... cts, ideally across multiple geographies and time zones. -Strong understanding of ML/AI principles and their distinctions from traditional software development. -Experience with Google Cloud Platform (GCP) or other cloud technologies and launches.
Help driving one of the most exciting and critical work streams across Google: Gemini APIs, AI Studio, Colaboratory and Kaggle! Be at the center of the decision making for Gemini developer product releases by helping your partner Product Managers and Software Engineers to keep track of and deliver on the multiple work streams.
This is one of the most critical spaces at Google, with visibility to Google's leadership team and an incredibly innovative and fast pacing area. Your ability to manage the multiple programs and partner with the different teams will be critical for our success.
Hewlett Packard Labs Seeking PhD level research scientists with several years experience and/or established publication record in scientific machine learning (SciML), AI for Science, neuromorphic comp... uting, or other related fields. Please see application link for desired skills and other info.
DatologyAI As a Machine Learning Engineer at DatologyAI, you will be responsible for:
Architect, build, and deploy the ML systems and services that power our data curation platform... > Design and implement large-scale data pipelines that curate datasets and make them ready for training cutting-edge models
Partner with researchers and engineers to bring new features and research capabilities to our customers
Ensure that our systems are reliable, secure, and worthy of our customers’ trust
This role is based in Redwood City, CA. We are in person 4 days a week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About You There are a few specific things we’ll be looking for that will help you succeed in this role:
4+ years of experience
Have meaningful experience with leading and building production ML systems and platforms that deliver on major product initiatives.
Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges
Have experience and evidence of reading, understanding, and implementing ML research papers
Proficiency in Python and in the most commonly used tools of the ML & Data Science ecosystem
Experience maintaining a high-quality bar for design, correctness, and testing.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
Own problems end-to-end and are willing to pick up whatever knowledge you’re missing to get the job done
We would love it if candidates have:
Experience conducting open-ended research to improve the quality of collected data
DatologyAI As a Research Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with... other members of the technical staff to develop and improve state-of-the-art data curation strategies. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.
About You There are a few specific things we’ll be looking for that will help you succeed in this role:
Bachelor’s degree or equivalent practical experience.
3-4 years of experience in an industry research lab or equivalent academic experience.
Strong background in machine learning systems, such as distributed training of large models and/or ML performance optimization.
Knowledge of ML/AI applications and models, especially foundation models, how they are constructed, and how they are used.
Experience contributing to research communities, including open-source research projects or publishing at conferences (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC).
Strong foundations in software engineering and empirical research.
Ability to work separately and as part of a team. Excellent communication and presentation skills.
We would love it if candidates have:
PhD in Computer Science with an emphasis on Machine Learning, or a related technical field.
Experience working in an industry or academic research lab, focusing on multiple aspects of the research to product pipeline.
Link:https://www.datologyai.com/See More >>
Research Intern
DatologyAI As a Research Intern at DatologyAI, you will conduct research investigating how intervention on training data can improve the quality and shape the behavior of deep learning model... s. Here is what your day-to-day would look like:
Transform messy literature into practical improvements. The research literature is vast, ambiguous, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and your own creation.
Perform High-Risk, High-Reward Research. We want our interns to focus on problems that have massive potential to transform how data is ingested into future ML models. Rather than making incremental changes to current algorithms, we want you to work on novel project ideas that could change how we view data.
Conduct science driven by real-world needs. At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Concrete customer needs and product improvements will guide your research.
Science is more than just experiments. We expect our Research Scientist Interns to collaborate closely with engineers, talk to customers, and shape the product vision
About You
Ideal candidates should have strong coding skills with experience with one of the following:
We would like to hire students with practical experience and/or publications related to any of the following research topics:
Data research
Data pruning/curation
Curriculum learning
Synthetic data generation
Dataset distillation
Effects of training data on model behavior
Embedding models
Semantic search
Efficient ML
We would love to have you if you have practical experience and/or publications related to training large vision (especially video), language, and multimodal models.
DatologyAI We would like to hire researchers with practical experience and/or publications related to any of the following research topics:
Data research
Data pruning/curation<... br> Curriculum learning
Synthetic data generation
Dataset distillation
Effects of training data on model behavior
Embedding models
Semantic search
Efficient ML
We would like to hire researchers with practical experience and/or publications related to training large vision (especially video), language, and multimodal models.
Candidates should also have the following qualifications:
Strong understanding of the fundamentals of deep learning.
Sufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.
Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.
We would love it if candidates have:
Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)
Experience building + shipping ML products
Candidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have had no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.
Link:https://www.datologyai.com/See More >>
AI Research Scientist
Coastal Carbon We are looking for an AI Research Scientist to join our team and contribute to designing and building cutting-edge models. The role will involve: Research & Design: D... eep understanding of current machine learning research. Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects. Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data. Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously. Implementation: Developing high-level proof-of-concept (POC) models. Experimenting with new state-of-the-art techniques to surpass existing models. Plan and execute innovative research and development to push the boundaries of current technology. Writing and Publication: Assisting in the preparation and writing of technical and scientific papers for publication. Demonstrated strong scientific communication/presentation skills. Requirements PhD degree in computer science, engineering, a related field, or equivalent experience. Proven track record of successful machine learning research projects 5+ years of experience in relevant jobs Strong scientific understanding of the field of generative AI
Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
DatologyAI We are looking for our first seasoned Full-Stack engineers who love building new products in an iterative and fast-moving environment. In this role, you will build software from t... he ground up to solve critical bottlenecks for DatologyAI customers and internally. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.
You will contribute to developing the core product that customers use for curating their datasets and the visualizations around it, as well as the internal tooling that our team uses daily to develop the core product. You will have a broad impact on the technology, product, and our company’s culture.
As a Full Stack Engineer at DatologyAI, you will be responsible for:
Owning the full product development lifecycle for customer-facing data curation products as well as the new internal infrastructure and product experiences.
Talking to customers and internal stakeholders to understand their problems and design solutions to address them.
Collaborating with a cross-functional team of engineers, researchers, designers, etc to bring new features and research capabilities to our customers.
Ensure our products and systems are reliable, secure, and worthy of our
We provide visa sponsorship for candidates selected for this role.
About You 6+ years of experience
Have meaningful experience with leading and building production backend and/or full-stack experiences that deliver on major product initiatives
Proficiency in Python, JavaScript/TypeScript, React, and other web technologies
Care deeply about quality, functionality, and the humans we’re communicating to by sweating the details, down to the last page request.
Experience maintaining a high-quality bar for design, correctness, and testing.
Have prior experience in ML/AI (preferred but not required)
DatologyAI As an ML Infrastructure Engineer at DatologyAI, you will be responsible for:
Architect, build and maintain the infrastructure that ensures highly available GPU workloads fo... r training-purposes
Troubleshoot and resolve issues across GPU resources, networking, OS, drivers, and cloud environments, automate detection and recovery of such issues
Design, build, and maintain the infrastructure that powers our data curation product.
Partner with researchers and engineers to bring new features and research capabilities to our customers
Ensure that our infrastructure and systems are reliable, secure, and worthy of our customers' trust.
This role is based in Redwood City, CA. We are in person 4 days a week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About You There are a few specific things we’ll be looking for that will help you succeed in this role:
5+ years of experience
Have meaningful experience with leading and building production ML infrastructure and platforms that deliver on major product initiatives.
Proficiency in Python and in the most commonly used tools in the infrastructure space: Linux, Kubernetes, Terraform / Pulumi, etc
Strong knowledge of hardening cloud native and especially K8s workloads.
Experience maintaining a high-quality bar for design, correctness, and testing.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
We would love it if candidates have:
Experience running data-processing workloads in k8s (e.g spark on k8s)
Postdoc or visiting student/scholar in LLM training & hardware deployment
University of California, Santa Barbara We are looking for postdocs or visiting students to work on efficient pre-training & deployment of LLMs.
For the pre-training project, we are looking for candidates w... ith strong numerical optimization background. Prior experience in parallel or distributed training on massive GPUs will be preferred. We have massive GPU resources to support the research in this direction.
For the LLM deployment project, we are looking for candidates with background in FPGA design, quantization or GPU performance optimization for transformers, on-device inference or training.
Ecker Lab We’re looking for postdoc at the intersection of neuroscience and machine learning with an interest in vision and working with large-scale neural data.
... Link:https://eckerlab.orgSee More >>
AI Software Engineer
webAI About the Role
We're seeking an experienced AI Software Engineer to join our engineering team. As an AI Software Engineer at our company, you'll be at the intersection of c... utting-edge AI research and software engineering. You'll work on transforming state-of-the-art ML models into highly efficient, production-ready systems that can operate at scale. This role combines the precision of systems engineering with the innovation of AI development, requiring both strong software engineering fundamentals and ML expertise. You'll collaborate with our research teams to implement novel AI architectures while ensuring our systems maintain high performance, reliability, and efficiency. This is an opportunity to shape the future of AI infrastructure while working on problems that push the boundaries of what's possible in machine learning.
Key Responsibilities:
Build, document, optimize, and maintain (through CI/CD and testing) AI related software packages and services Design and implement efficient, production-ready AI/ML systems Collaborate closely with research, engineering, and product teams to understand requirements Integrate and optimize AI/ML algorithms and research derived by R&D into platform packages and services
Link:https://job-boards.greenhouse.io/webai/jobs/4567371007See More >>
ML Scientist for Chemistry
Entalpic As a ML scientist for chemistry, your role will be to improve in-house ML models for materials discovery and translate them into actionable insights for strategic applications, wh... ich you will develop with our industrial and academic partners. You will collaborate closely with our research and engineering teams (~10 people) to enhance the performance, scalability and impact of our AI-driven solutions, while also engaging with clients to answer their needs and deliver superior materials.
Link:https://jobs.breega.com/jobs/4569836-ml-scientist-for-chemistry-entalpicSee More >>
Research Engineer — GNNs
Entalpic As a Research Engineer, your role will be to translate complex ML algorithms for materials property prediction (e.g geometric GNNs) from conceptual frameworks into robust, scalabl... e models within our platform. You will also work on the active learning and uncertainty prediction pipeline, closely collaborating with our research and engineering teams (~10 people) to enhance the performance, scalability and impact of our AI-driven solutions.
Link:https://jobs.breega.com/jobs/4569757-machine-learning-engineer-property-prediction-entalpicSee More >>
ML Scientist for Chemistry Intern
Entalpic As a ML scientist for chemistry Intern, your role will be to improve in-house ML models for materials discovery (predictive, generative, active learning, LLMs) and translate them ... into actionable insights for strategic applications, which you will develop with our industrial and academic partners. You will collaborate closely with our research and engineering teams (~10 people) to enhance the performance, scalability and impact of our AI-driven solutions, while also engaging with clients to answer their needs and deliver superior materials.
Dalhousie university Faculty of computer science has several PhD openings in ML, NLP, RL, safe AI and interpretation. Please reach out to the given email for more information.
... Link:https://hypermatrix.cs.dal.ca/See More >>
LLM for Chemistry Scientist (Intern)
Entalpic Your job will involve parsing academic literature and industry patents using large language models (LLMs) to build robust datasets and extract meaningful knowledge. You will also ... train and fine-tune new LLMs specialized in chemistry, along with creating and validating tailored benchmarks.
Background in chemistry & LLMs required
Link:
None
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Research Scientist / Software Engineering at Instagram Relevance
Meta Who are we
We are responsible for all relevance and personalization improvements of the core products on Instagram, including Instagram Feed, Stories, Reels, Explore, and m... any more. Our work spans across a wide range of ML areas and aspects - retrieval, core modeling, value optimization, delivery, data & features, new product incubation, ecosystem improvements, content/creator optimizations, infra, ML dev experiences and GenAI integrations. Being close to the user experiences on Instagram, we often leverage our technical insights along with product intuitions to push the frontier of ML technologies and innovation.
What we are looking for
We will have openings for both fulltime (all levels) and internship positions for software engineer / research scientist roles in 2025. In particular, we expect potential candidates: - Currently has, or is in the process of obtaining a degree in Computer Science, - Computer Engineering, Statistics or relevant technical field, or equivalent practical experience. - Solid core machine learning skills or/and strong ML system skills. - Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch. - Experience in deep learning: supervised, semi-supervised, self-supervised learning, RL, optimization, and/or generative modeling. Strong interest in the area of recommendation systems.
We will be glad to meet with potential candidates who are interested in future opportunities in our team. Please note that this is NOT a formal interview process, and suitable candidates will need to go through the full interview cycle later.
If you are interested, please send your resume to ig_relevance_neurips2024@meta.com as early as possible. The title should be “your_name | intern or fulltime”.
Time: Wednesday Dec 11: 4:00pm - 5:00pm Thursday Dec 12: 3:00pm - 4:00pm Location: Meta Booth (#433).
Link:
None
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webAI The Director of AI at webAI will spearhead our AI initiatives, ensuring the effective development and integration of cutting-edge AI solutions across the organization. This role r... equires a visionary leader who can shape webAI's AI strategy, foster innovation, and uphold ethical practices in AI development. The Director of AI will work closely with cross-functional teams to advance AI capabilities and maintain our competitive edge in the rapidly evolving AI landscape.
Key Responsibilities:
● Strategic Leadership: Lead the development and execution of webAI's AI strategy, aligning it with business goals and driving impactful AI innovation.
● Team Management: Manage, mentor, and inspire a high-performing team of AI researchers, data scientists, and engineers, fostering a culture of growth and excellence.
● Cross-functional Collaboration: Collaborate with product, engineering, and business teams to integrate AI solutions into existing products and ideate new AI-driven offerings.
● Innovation & Knowledge Building: Stay current with the latest AI trends, technologies, and methodologies, and continuously evaluate how they can be applied within webAI.
● Ethical AI Development: Ensure the responsible and ethical development and deployment of AI technologies, aligning with best practices and regulatory guidelines.
● Industry Representation: Represent webAI at industry conferences and events, positioning the company as a thought leader in the AI space.
webAI We are seeking a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to join our innovative team. This role will ... focus on developing and deploying state-of-the-art NLP models that power webAI’s platform. If you have experience in working with transformer models, language generation, and advanced text analytics, this is the perfect opportunity to apply your skills on groundbreaking AI technology.
You’ll collaborate closely with our research and engineering teams to design, build, and optimize models that work with both structured and unstructured language data. The ideal candidate will bring experience deploying production-level NLP models, as well as expertise in MLOps practices and scalable cloud infrastructure.
Link:https://job-boards.greenhouse.io/webai/jobs/4528385007See More >>
Machine Learning Software Engineer
HealthbookPlus HealthBook+ is a hassle-free health facilitation platform that helps providers and patients streamline the journey to better health. It provides actionable and easy-to-understand ... insights and health coaching, as well as frictionless access to immediate support and personalized care solutions based on each user’s individual needs, enabling them to take their Next Best Health Action™.
You will join the LLM team (currently 2 Machine Learning Software engineers) and together have ownership over all the AI features in the platform and help shape Healthbook’s AI vision. This includes all aspects from prototyping, to design, full-stack feature implementation, as well monitoring and continuous improvement once a feature is released. This role is ideal for someone who:
- Is adaptable and willing to take initiative - Has understanding and familiarity with LLMs - Is excited about Healthbook’s mission to improve patient outcomes
University of Rochester I will be joining the Electrical and Computer Engineering (ECE) department at the University of Rochester in July 2025. I am currently recruiting PhD students to start in Fall 202... 5, focusing on multi-objective/multi-level optimization, learning theory, and their applications.
Meta Software Engineer, Machine Learning Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, a... nd ML excellence Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU) Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate Leading a team from a technical perspective to develop ML best practices and influence engineering culture Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Suggest, collect and synthesize requirements and create effective feature roadmap Code deliverables in tandem with the engineering team
Minimum Qualifications 8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
Meta Software Engineer, Machine Learning Responsibilities Leading projects or small teams of people to help them unblock, advocating for ML excellence Adapt standard machine lear... ning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Suggest, collect and synthesize requirements and create effective feature roadmaps Code deliverables in tandem with the engineering team
Minimum Qualifications 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
Link:https://www.metacareers.com/jobs/774198984091403/See More >>
Machine Learning Engineer
Meta Software Engineer, Machine Learning Responsibilities Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Sugge... st, collect and synthesize requirements and create effective feature roadmap Code deliverables in tandem with the engineering team Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Minimum Qualifications 2+ years of programming experience in a relevant programming language 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Link:https://www.metacareers.com/jobs/624841835890795/See More >>
Research Engineer, TikTok AI Search (LLM Pretraining/Alignment/Inference)
Tiktok The main job directions include: 1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme; 2. Data construction, instruc... tion tuning, preference alignment, and model optimization; 3. Implementation of relevant applications, including content generation, summary etc.; 4. Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models 5. In-depth research and exploration of more usage scenarios in future life.
Responsibilities: - Conduct research and develop state-of-the-art algorithms in various stages of the development of LLM, including continued pretraining, SFT, RLHF; - Investigate and implement robust evaluation methodologies to assess model performance at various stages, unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements. - Using inference stage techniques such as RAG, CoT, Prompt Engineering to improve the model output - Improve the performance of AI Search in the TikTok app to provide better search experience for users Qualifications Minimum qualifications: • Bachelor or advanced degree in computer science or a related technical discipline. • Effective communication and teamwork skills. • Proficient coding skills and strong algorithm & data structure basis.
Link:
None
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Senior Research Engineer, TikTok AI Search (LLM Pretraining/Alignment/Inference)
Tiktok The main job directions include: 1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme; 2. Data construction, instruc... tion tuning, preference alignment, and model optimization; 3. Implementation of relevant applications, including content generation, summary etc.; 4. Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models 5. In-depth research and exploration of more usage scenarios in future life.
Responsibilities: - Conduct research and develop state-of-the-art algorithms in various stages of the development of LLM, including continued pretraining, SFT, RLHF; - Investigate and implement robust evaluation methodologies to assess model performance at various stages, unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements. - Using inference stage techniques such as RAG, CoT, Prompt Engineering to improve the model output - Improve the performance of AI Search in the TikTok app to provide better search experience for users Qualifications Minimum qualifications: • Bachelor or advanced degree in computer science or a related technical discipline. • Effective communication and teamwork skills. • Proficient coding skills and strong algorithm & data structure basis.
Preferred qualifications: - 3+ years of related industry experience. - Experience in one or more of the following areas is preferred: NLP, LLM, RL - Candidates with top-tier conference papers, including ICML, NeurIPS, ICLR, CVPR, ICRA, KDD etc., relevant internship experience or winners of ACM competitions are preferred; - Experience in using data-driven methods to enhance the capability of LLMs through various stages of the model development - Experience in RAG, Prompt Engineering or other inference time methods to enhance the performance of the system
Link:
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Tech Lead, Research Engineer, TikTok AI Search (LLM Pretraining/Alignment/Inference)
Tiktok The main job directions include: 1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme; 2. Data construction, instruc... tion tuning, preference alignment, and model optimization; 3. Implementation of relevant applications, including content generation, summary etc.; 4. Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models 5. In-depth research and exploration of more usage scenarios in future life.
Responsibilities: - Conduct research and develop state-of-the-art algorithms in various stages of the development of LLM, including continued pretraining, SFT, RLHF; - Investigate and implement robust evaluation methodologies to assess model performance at various stages, unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements. - Using inference stage techniques such as RAG, CoT, Prompt Engineering to improve the model output - Improve the performance of AI Search in the TikTok app to provide better search experience for users Qualifications Minimum qualifications: • Bachelor or advanced degree in computer science or a related technical discipline. • Effective communication and teamwork skills. • Proficient coding skills and strong algorithm & data structure basis.
Preferred qualifications: - 3+ years of related industry experience. - Experience in one or more of the following areas is preferred: NLP, LLM, RL - Candidates with top-tier conference papers, including ICML, NeurIPS, ICLR, CVPR, ICRA, KDD etc., relevant internship experience or winners of ACM competitions are preferred; - Experience in using data-driven methods to enhance the capability of LLMs through various stages of the model development - Experience in RAG, Prompt Engineering or other inference time methods to enhance the performance of the system
Link:
None
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SLM researcher
Fastino Working on very small powerful in-domain textual models, innovating with a new sequential architecture (not transformers / not state-space) backed by Microsoft
... Link:fastino.aiSee More >>
Assistant Professor AI for scientific discoveries
Wageningen University and Research Looking for an assistant professor job in #AI4good? Do you want to be a frontrunner in impactful scientific applications in the broad green life sciences, as for example agric... ulture, food science, sustainability, climate change or biodiversity?
Join us in Wageningen University and Research - the "most sustainable university in the world"! We are launching a new AI department, and have two vacancies that both lead to permanent professor positions!
Adobe Are you passionate about the groundbreaking AI/ML technologies and their applications to real-world usage? We, the applied research team for Photoshop, are looking for a Principal... Scientist who will help build the next generation of digital image editing applications. We deliver innovative AI/ML features for Photoshop to improve the creativity and usability of our customers. In this role, you will partner with multi-functional teams, research scientists, engineers, product designers, and product managers to bring research code into production-quality solutions and build Photoshop magic that delights customers. You will also work with the leadership team to define the product’s technical roadmap and strategy. We want to welcome your expertise in algorithms, machine learning, software architecture, and design to improve our flagship Photoshop. Please note that this is a senior role which requires a minimum of 10 years of industry experience with C/C++ programming skills. Check out the link for details.
Link:https://careers.adobe.com/us/en/job/R147476/Principal-Scientist-for-PhotoshopSee More >>
Junior Data Analytics Developer
Tantalus Systems Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed th... roughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics.
We are seeking a motivated and detail-oriented developer to join our growing data analytics team. This entry-level role offers the chance to support team members in various tasks and gain valuable experience in the field of data analytics, visualization, machine learning and the application of these technologies to support modernization of the electrical grid. This is a hands-on entry-level role ideally suited to a highly curious and self-motivated individual. In this role you’ll gain valuable experience working in a team to develop and deliver commercial products in a large scale industrial environment.
Tantalus Systems Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed th... roughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics.
As a Senior Machine Learning Engineer at Tantalus, you will join a dynamic, cross-functional team of innovative engineers and technologists. Our team leverages Tantalus’s comprehensive technology stack, which spans custom silicon, Industrial IoT (IIoT) devices, narrowband and broadband networks, cloud-native platforms, data aggregation, predictive analytics, machine learning, and cutting-edge visualization tools.
In this role, you will be at the forefront of product development, collaborating with teams from our Canadian and U.S. offices and working closely with global partners. You will help shape the future of electric, water, and gas distribution systems by developing advanced analytics tools that extract insights from vast amounts of time-series data collected from our Smart Metering systems.
Your expertise will be crucial in addressing complex problems within utility power distribution, including the integration of distributed energy resources like solar, wind, and electric vehicle charging stations. As a key technical leader, you will guide the development, verification, and delivery of machine learning-based solutions, drawing from a wide range of statistical, supervised, unsupervised, and hybrid models to meet the unique challenges of our industry.
SLB Exciting Opportunity for Instructors in Advanced AI Topics
We are seeking experienced instructors to deliver training on Machine Learning, Deep Learning, and Generative... AI to our clients around the globe. This is a unique opportunity to share your expertise, engage with diverse audiences, and contribute to the growth of cutting-edge technologies worldwide.
These are paid engagements with flexible scheduling to accommodate your availability.
If you’re passionate about teaching and have a strong background in AI, we’d love to hear from you!
Link:www.slb.comSee More >>
Schmidt Sciences Schmidt Sciences invites recent PhD graduates in AI and computer science to apply for a 12-18 month fellowship. Reporting to the Executive Director of the AI Institute at Schmidt ... Sciences, fellows would split their time between supporting the AI Institute (e.g., by exploring new grantmaking programs) and pursuing specific research projects aligned with the Institute’s priorities. Up to three fellows will be hired in 2025.
Link:https://www.schmidtsciences.org/careers/4b56725b-89b3-4094-bd58-4c59bfdc933c/See More >>
Program Scientist, AI and Advanced Computing Institute
Schmidt Sciences Reporting to the Schmidt Sciences AI and Advanced Computing Institute head, the Program Scientist will join the AI and Advanced Computing team to develop new areas and approaches ... for research support, manage existing programs, and assist with the review and diligence of research proposals.
Link:https://www.schmidtsciences.org/careers/6b250acd-84bd-4a80-adcf-b0ddb97a9545/See More >>
Apply and come by our booth 204
... Link:
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Algorithmic Developer (m/f/d)
turba AI We are looking for an Algorithmic Developer with a deep understanding of algorithmns, data structures and optimization techniques. The ideal candidate will have the ability to eff... iciently code algorithms, analyze optimization results and runtimes and translate real world problems into mathematical optimization problems. Familiarity with functional programming, type theory, category theory ans mathematical proofs ist highly desirable.
turba AI To support pur team, we are looking for a motivated ML Engineer with expertise in in the parallelization, production and edge deployment of deep learning models. You will undertak... e innovations to crafting novel solutions for large scale datacenters and execute their implementations in cooperation with other involved departments. Learning new skills together with the willingness to grow into new technical areas ist very important.
turba AI We are looking for a System Engineer with strong programming skills in C/C++ and familiarity with distributed systems and artificial intelligence. Experience with DevOps/MLOps pra... ctices and additional programming languages ist a plus.
Google Cloud AI Looking for ML engineers in the areas of MultiModal understanding and Generative media (Video generation, image generations).
... Link:
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postdoctoral position in neuroAI@CSHL
Cold Spring Harbor Laboratory Interested in using AI to solve the brain? Curious about implementation of brain evolution in silico? Wondering if understanding brain architecture can help AI alignment? Neurothe... ory lab at Cold Spring Harbor Laboratories may have a position for you. Send a note with your resume to koulakov@cshl.edu if interested
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DevOps Engineer (m/f/d)
turba AI We are looking for a skilled and innovative DevOps Engineer to Streamline our development and deployment processes. You will pay a pivotal role in building our robust pipelines, a... utomating infrastructure and ensuring our system remains fast and reliable.
HP Training and deployment of AI models for on edge inference.
Link:... None
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Research Scientist
Deepgram Deepgram is looking to grow our science team! We are an industry-leading voice ai company focused on providing b2b solutions for transcription, speech synthesis and voice agents. ... Come find me, Jack, and tell me you’re interested. I’m wearing Deepgram swag, notably including a black backpack saying, you guessed it, Deepgram.
Link:https://jobs.ashbyhq.com/Deepgram/7cf277bc-a192-4007-a77a-fafbf8276a5e?employmentType=FullTimeSee More >>
Machine Learning Research Engineer
d-Matrix The Machine Learning Team is responsible for the R&D of core algorithm-hardware co-design capabilities in d-Matrix's end-to-end solution. You will be joining a team of excepti... onal people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix's AI compute engine. You will also have the opportunity of collaboration with top academic labs and help customers to optimize and deploy workloads for real-world AI applications on our systems.
Link:https://jobs.ashbyhq.com/d-Matrix/b6fb0510-ccbe-446a-8c58-d743f3df743e?utm_source=4j2g7J8w7mSee More >>
ML Research Engineer
Alljoined Alljoined is building non-invasive mind reading technology with Al. Using deep learning on noninvasive EEG signals, we transform neural activity into interpretable digital outputs... -images, text, sound, video, and more. We have gathered the world’s largest datasets and built state-of-the-art deep learning models that decode brain signals into words, images, sounds and actions.
We are a fast-growing startup of world-class researchers and engineers in machine learning and computational neuroscience. Our background hails from institutions such as Stanford and StabilityAl. Our work has been presented at top machine learning conferences such as CVPR, AAAI, ICML and ICLR. Recently, we have closed a fundraising round lead by top investors such as Khosla Ventures, Jeff Dean, Guillermo Rauch, Compound, Conviction, First Spark, Artis and more.
We are seeking talented Machine Learning Research Engineers to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding
Link:https://alljoined.comSee More >>
Machine Learning Research Scientist / Research Engineer
Scale AI Come to our booth at #115 in Hall A to learn more!
Scale works with the industry’s leading foundation model labs to provide high quality data and accelerate progress in mac... hine learning research. As a Machine Learning Research Engineer, you will design next generation data pipelines and supervision strategies in close collaboration with our customers to accelerate progress in Generative AI. The ideal candidate is highly technical and well-versed in recent research progress for LLMs, while also having great communication skills, customer obsession, and passion for evangelizing new research methods. Successful candidates will become true research partners to several top foundation model labs, contributing technically and strategically to the roadmaps for the next generation of large language models.
You will:
Collaborate closely with researchers from the top foundation model labs to design new strategies and data pipelines involving human supervision
Partner internally with Scale’s Data Engine team to bring your research and data pipeline ideas to life
Shape the roadmap for how post-training data is used to supervise the next generation of large language models
Conduct experiments for new research ideas in post-training, leveraging your unique vantage point as a technical partner to several labs
Tantalus Systems Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed th... roughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics.
This role focuses on development of ML technologies that work on small edge devices that collaborate to solve important problems in the electrical, water and gas distribution systems. The technology stack includes Tantalus designed hardware, silicon (SOC), firmware, networks and head end systems.
If you have passion and interest in scaling solutions to work in resource constrained industrial environments then this role may be of interest. Please see the linked posting for more detail.
Scale AI Come to our booth at #115 in Hall A to learn more!
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the ... capabilities and safeguarding large language models (LLMs). Safety, Evaluations and Analysis Lab (SEAL) is Scale’s new frontier research effort dedicated to building robust evaluation products and tackling the challenging research problems in evaluation and red teaming.
We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and the publication of our research findings. Below is a list of SEAL’s representative projects:
Design and implement robust evaluation benchmarks. Measure and improve eval reproducibility and reliability.
Research and implement cutting-edge model assisted red teaming methods.
Develop state of the art LLM based automated rating systems leveraging the Scale ecosystem for customized training data.
Machine Learning Research Scientist/ Engineer, Frontier Data Research
Scale AI Come to our booth at #115 in Hall A to learn more!
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the ... capabilities and safeguarding large language models (LLMs). Safety, Evaluations and Analysis Lab (SEAL) is Scale’s new frontier research effort dedicated to building robust evaluation products and tackling the challenging research problems in evaluation and red teaming.
We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and the publication of our research findings. Below is a list of SEAL’s representative projects:
Design and implement robust evaluation benchmarks. Measure and improve eval reproducibility and reliability.
Research and implement cutting-edge model assisted red teaming methods.
Develop state of the art LLM based automated rating systems leveraging the Scale ecosystem for customized training data.
d-Matrix The Machine Learning Team is responsible for the R&D of core algorithm-hardware co-design capabilities in d-Matrix's end-to-end solution. You will be joining a team of excepti... onal people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix's AI compute engine. You will also have the opportunity of collaboration with top academic labs and help customers to optimize and deploy workloads for real-world AI applications on our systems.
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AI Agent research scientist, research engineer, research intern
Huawei Noah’s Ark Lab AI Agent research, including the data generation, model training, reinforcement fine tuning, multi-agent cooperation, and GUI agents.
... Link:
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Internship - Efficient AI
MERL We are on the lookout for passionate and skilled interns to join our cutting-edge research team focused on developing efficient AI techniques for sustainability. This is an exciti... ng opportunity to make a real impact in the field of AI and environmental conservation, with the aim of publishing at leading AI research venues. Please check out the link: Link:https://merl.com/employment/internship-openings.php#CI0080See More >>
Internship - Quantum AI
MERL MERL is excited to announce an internship opportunity in the field of Quantum Machine Learning (QML) and Quantum AI (QAI). We are seeking a highly motivated and talented individua... l to join our research team. This is an exciting opportunity to make a real impact in the field of quantum computing and AI, with the aim of publishing at leading research venues. Please check out the link Link:https://merl.com/employment/internship-openings.php#CI0082See More >>
Internship - Trustworthy AI
MERL MERL is seeking passionate and skilled research interns to join our team focused on developing trustworthy, private, safe, and robust machine learning technologies. This is an exc... iting opportunity to make an impact on the field of AI safety, with the aim of publishing at leading AI research venues. Please check out the link Link:https://merl.com/employment/internship-openings.php#CI0086See More >>
Internship - Internship - Human-Machine Interface with Biosignal Processing
MERL MERL is excited to announce an internship opening for a talented researcher to join our team. We are looking for an individual to contribute to cutting-edge research in human-mach... ine interfaces (HMI) using multi-modal bio-sensors. This is an exciting opportunity to make a real impact in the field of human-machine interaction and biosignal processing, with the aim of publishing at leading research venues. Please check out our link Link:https://merl.com/employment/internship-openings.php#CI0083See More >>
Apple My team at Apple is looking for interns for next year. The focus will be agents, multimodal models, and UI automation. If you’re a current grad student and are interested, feel fr... ee to DM me with a brief description of your background and CV.
Link:
None
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Internship @ Paris in Explainable Temporal Sequences
Develop and optimize cutting-edge generative AI models, including large language models (LLMs) and multimodal systems, tailored for SpiNNcloud’s brain-ins... pired hardware. Actively participate in the planning and execution of scalable AI systems capable of end-to-end model training, tuning, and deployment. Design and implement high-performance AI frameworks and libraries with an emphasis on hardware-awareness and energy efficiency. Perform in-depth analysis of generative AI algorithms to identify opportunities for optimization in terms of accuracy, latency, and energy consumption. Collaborate with researchers and developers to prototype innovative tools and infrastructure for generative AI applications. Contribute to the development of robust APIs and coherent toolsets for seamless integration with SpiNNcloud’s infrastructure. Share impactful findings and results through GitHub repositories, scientific publications, and presentations. Contribute to the development and documentation of demonstrators.
Link:https://spinncloud.softgarden.io/job/51824993?l=enSee More >>
Senior Research Scientist, Interactive Recommender Systems, Google Research
Google As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while ... providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
Link:https://www.google.com/about/careers/applications/jobs/results/100488052379394758-senior-research-scientist-interactive-recommender-systems-google-researchSee More >>
Vast.ai About Us: At Vast.ai, we value creativity, energy, drive and teamwork. We are looking for talented people who share these values to join as we grow our team. Our vision is to w... idely distribute AI computing to reshape our future for the good of humanity. Come join us. If witnessing the birth of AGI excites you, we can’t wait to hear from you!
NOTE: Currently hiring for on-site work in San Francisco or Westwood, Los Angeles.
About the Role: As a Core ML Researcher, you will lead the advancement of foundation model research and its practical implementation. Working closely with the technical CEO and founder, you will develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations. You will also engage with customers, assisting them in training, utilizing, and refining their AI applications with open models. Staying current with cutting-edge research and papers will be crucial for maintaining expertise in the latest AI model inference and GPU programming techniques. * Full-Time, Monday - Friday. * On-site at either our San Francisco or Westwood offices.
You are: * Strong background in Machine Learning * Deeply comfortable in C++, template meta-programming, CUDA, GPGPU, and linux * Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations * Excellent problem-solving and analytical skills * Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field * Excited about the potential of AI
You will: * Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations * Use Vast.ai’s cloud to create the best open ML models * Improve the full lifecycle of open ML models
Compensation Total comp will be adjusted for experience: 5 years: $220,000 10 years: $290,000 Full Benefits and Equity
Link:https://vast.ai/careersSee More >>
AI Researcher - Foundational VLM (Robotics) Agent Research
MAUM.AI At WoRV (World Model for Robotics and Vehicle Control), we are developing a general-purpose foundation model that seamlessly integrates text, images, video, and actions to tackle ... real-world challenges in robotics and autonomous driving.
We thrive in a dynamic and flexible environment where open communication and collaboration are at the heart of everything we do.
Instead of assigning tasks, we empower each team member to take full ownership of their work, engage in meaningful discussions, and work toward our shared goals.
You will collaborate with passionate and talented colleagues, all united by a common vision and guided by leading experts in AI research.
Our mission goes beyond just academic research; we are committed to turning innovative ideas into tangible solutions that make a real-world impact. If this excites you, we’d love to have you on our team.
Staff Software Engineer, Cloud ML Compute Services
Google The Cloud ML Compute Services team builds and supports the Google Cloud Platform (GCP) Cloud TPU and GPU services and related ML models/frameworks. It provides ML infrastructure c... ustomers with large-scale, cloud-based access to Google’s ML supercomputers to run training and inference workloads using PyTorch and JAX.
Link:https://www.google.com/about/careers/applications/jobs/results/77775974602547910See More >>
Applied Scientist II, FAR (Frontier AI & Robotics)
Amazon Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter ... Chen to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, scence understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between cutting-edge research and real-world deployment at Amazon scale. In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Link:https://www.amazon.jobs/en/jobs/2850576/applied-scientist-ii-far-frontier-ai-roboticsSee More >>
Robust Intelligence (now part of Cisco) Robust Intelligence (now part of Cisco) is looking to expand their AI Security research team! We are actively recruiting researchers with an interest in AI Security, AI Safety, an... d LLM Robustness.
LAION & friends - Full Research Positions, open foundation models with strong generalization & datasets necessary for their creation, Juelich Supercomputing Center, Germany
LAION; Juelich Supercomputing Center Would you like to
- work with LAION (laion.ai) - community strongly committed to open source and open science around large-scale open foundation models and datasets (LAION-... 400M/5B, Re-LAION; openCLIP, Stable Diffusion, DataComp, DCLM, and more).
- study pressing questions about generalist open multi-modal foundation models and their capabilities to generalize & transfer, systematically deriving scaling laws to predict model properties and emergent functions at larger scales with large datasets
- work on next gen multi modal open foundation models with much stronger generalization and scalability than current SOTA
- use most advanced supercomputers equipped with thousands of GPUs world-wide (Juelich Supercomputing Center, CINECA, ...), including the upcoming first European Exascale supercomputer JUPITER (24k H100! + PBs for datasets!)
- work connected to strongest academia and industry worldwide - Stanford, Tuebingen (ELLIS & friends), Black Forest Labs, HuggingFace, Open-Sci Collective, while being involved in various large EU projects, dedicated to open-source whole pipeline for building & researching foundation models and datasets necessary for their creation
- have a playful, creative and scientifically inspiring work environment
→ Apply for “hacker” research full positions (both junior and postdoc level) in Scalable Learning & Multi-Purpose AI lab (SLAMPAI, led by Jenia Jitsev, LAION co-founder & scientific lead) at Juelich Supercomputing Center, Germany. Positions offer long-term perspectives (2-3 years and longer), embedded in tight collaborations with LAION, ELLIS and related strong international community and research & industry labs committed to open-source and reproducible science. Also possible for remote & flexible work!
Link:laion.aiSee More >>
AI Safety and Robustness. Research Scientists. Safe Intelligence
Safe Intelligence Research Scientists (PhD level) openings plus one Senior Research Scientist role at Safe Intelligence.
Ideal candidates have previous experience in verification, validation... and robustness, eg papers at neurips/icml/iclr etc. :-)
I'm around till Friday and happy to meet and chat. Just dm me on whova/linkedin/ with a cv or an intro with your background.
AI Product Research Lead technology and research vision for an AI agent based product
Link:... b>
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Machine learning engineer (ranking, recommendation, information retrieval)
Doordash DoorDash consumer ML team is hiring for machine learning engineers working in the personalization domain. You will use machine learning technologies including LLM to build state o... f the art large scale recommendation system and personalized user experience for customers on Doordash.
Link:
None
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Machine Learning Researcher, Multimodal Foundation Models
Analog Devices The Deep Tech Architecture (DTA) group is seeking a motivated, experienced Neuromorphic Research Intern to support our Innovation Center and Corporate Incubation Labs (Analog Gara... ge) located at ADI’s Boston office. The Analog Garage mission is to empower ADI by pioneering breakthrough technologies. The DTA group within the Analog Garage is applying leading-edge circuit design, device design, and nano-scale fabrication technologies to develop innovative solutions to big societal problems. You will conduct research in the field of event-based detection mechanisms to support development of next-generation sensing, processing and learning technologies inspired by the brain’s efficiency in processing sensory data.
Responsibilities include, but not limited to: * Conduct research in new areas of event-driven algorithms for object detection, motion tracking, and feature extraction. * Utilize simulation tools and data analysis techniques to model and test neuromorphic systems, exploring latency-sensitive tasks such as autonomous navigation, robotics, surveillance, or similar. * Develop prototype concepts, evaluate them using neuromorphic sensors and/or simulated data. * Present findings of your research and proposed solution to DTA leadership team.
Qualifications * Masters or PhD candidate in Electrical Engineering, Computer Science, Neuromorphic Engineering, or related fields. * Experience or coursework in at least two of the following categories: computer vision, embedded systems, neuromorphic computing, FPGAs, robotics, or machine learning. * Coursework and/or hardware experience is a strong plus. * Experience in object-oriented programming languages such as Python, C++. * Knowledge of spiking neural networks (SNNs) or bio-inspired algorithms is advantageous. * Basic understanding of signal processing, sensors, and asynchronous data streams.
Amazon AGI SF Lab Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you’re at the right place! We are the AG... I Autonomy organization, and we are looking for a driven and talented SDE to join us to build state of the art agents.
As an MTS on our team, you will design, build, and maintain systems for training and evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to build systems to enable our organization to efficiently train large multimodal models.
We operate at Amazon’s large scale with the energy of a nimble start-up. If you have a learner’s mindset, enjoy solving challenging problems, and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you.
Key job responsibilities
* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist. * Develop reliable infrastructure to schedule training and model evaluation jobs across clusters. * Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs. * Manage project prioritization, deliverables, timelines, and stakeholder communication. * Illuminate trade-offs, educate the team on best practices, and influence technical strategy. * Operate in a dynamic environment to deliver high quality software.
About the team Our team is driven by a passion for pushing the boundaries of what AI can achieve. We are a diverse group of engineers, researchers, and innovators, committed to building AI systems that are capable of assisting and augmenting human intelligence in meaningful ways. Our work spans cutting-edge advancements in reinforcement learning, natural language processing, and multimodal systems, with a focus on creating agents that empower users to accomplish complex tasks efficiently and intuitively.
Link:https://www.amazon.jobs/en/jobs/2850518/member-of-technical-staff-agiSee More >>
Postdoctoral Associate in AI4Science
Texas A&M University Are you passionate about artificial intelligence, machine learning, and bioinformatics? Do you want to contribute to groundbreaking AI research that has a real impact on science a... nd health? If so, we invite you to join our dynamic research team as a postdoctoral researcher!
About Our Research: Our group, led by Prof. Yang Shen (https://shen-lab.github.io), focuses on several exciting areas, including: • Optimization and AI/ML: Graph self-supervision, domain adaptation, and generation; LLM and KG; Multimodal representation learning, generative models, explainability, generalizability, and uncertainty quantification for text, image, graph, and geometry. • Biomolecular Prediction and Design: Protein language, geometry, dynamics, interaction, and function prediction; Protein design and drug design; Genetic variant effects prediction and explanation. • Cancer Research and Synthetic Biology: Integrating molecular-level multi-modalities and systems-level multi-omics into predictive and generative models for mechanistic insights and therapeutic strategies in diseases and drug resistance.
Why Join Us? • Innovative Research: Be part of a team that develops and assesses cutting-edge computational methods, advancing the fields of AI4Science and AI4Health. • Interdisciplinary Approach: Work at the intersection of AI/ML, biology, and medicine to address fundamental questions and drive innovation. • Professional Growth: Gain valuable experience and skills in a supportive and dynamic research environment, preparing you for a successful career. Our alumni are in top universities, major tech companies, and fast-growing startups. • Environment: Texas A&M University ranks #12 (tie) in US News Best Engineering Schools (2024), offering a collaborative environment, a diverse community, and a strong alumni network. College Station ranks #2 in Forbes Best Small Places for Business and Careers (2019) and is conveniently located near Houston, Austin, Dallas, and San Antonio.
Link:Shen-Lab.GitHub.ioSee More >>
AI Product Engineer
V7 Build agents that automate the entire back office of healthcare, insurance, and financial services unlocking trillions in productivity from repetitive tasks that should be done by... machines.
Brain Co. BrainCo is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is... to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary Machine Learning Engineers with experience in Computer Vision models and LLMs to join us, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.
We partner with organizations in the following sectors: * Healthcare - Applying AI to revolutionize health systems, patient care, and democratize access. * Energy - Improving efficiency and communications between complex global systems. * Government - Innovating new ways to help citizens and cities grow and flourish.
Link:https://www.braincompany.ai/joinSee More >>
Data Scientist (Asset Management)
Capital Group Role summary: Develop innovative applications utilizing Large Language Models (LLMs) and Generative AI, including conversational assistants to provide information on mutual fun... d products or market insights and guide clients through investment decisions. Create analytical AI applications, including recommender systems to deliver personalized investment content and products to clients, time series models using thousands of attributes over decades to predict clients’ next best actions, optimization algorithms to determine where and when to target clients, and much more.
Primary responsibilities/essential functions: • Research and develop cutting edge machine learning and artificial intelligence applications that enable sales and marketing teams to empower financial advisors with relevant investment solutions. • Analyze patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data, to personalize investment outcomes. • Develop Neural Network based frameworks to solve a defined problem, thoroughly understand model diagnostics, focus on ML engineering aspects to deploy scalable solution and summarize model results for business stakeholders.
Professional Qualifications/Functional & Personal Skills • MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field. • 3+ years (post MS)/ 1+ years (post PhD) of relevant work experience, including industry experience or as a Researcher in a lab. • Practical experience with the latest advancements in Large Language Models and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology. • Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques. • Experience contributing to research communities- publishing papers/blog articles related to machine learning.
Link:
None
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AI Deployment Engineer
Brain Co. BrainCo is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is... to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. As an AI Deployment Engineer, you'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.
We partner with organizations in the following sectors: * Healthcare - Applying AI to revolutionize health systems, patient care, and democratize access. * Energy - Improving efficiency and communications between complex global systems. * Government - Innovating new ways to help citizens and cities grow and flourish.
Across AI At Across.ai, we are developing an engagement system to enhance salespeople's workflows with AI, addressing their needs from start to finish. Our extensive experience in both AI a... nd sales uniquely positions us to tackle this challenge. Our founders, who hold PhDs from Stanford and served as faculty at UC Berkeley and USC, bring unique expertise to our mission. We’re looking for a Machine Learning Engineer to join us!
What you’ll do: • Create large language models that help drive value for users and Across AI • Evaluate the technical tradeoffs of every decision • Perform code reviews and ensure exceptional code quality • Build robust, lasting, and scalable products Iterate quickly without compromising quality
Knowledge, Skills & Abilities: • Strong understanding of machine learning approaches and algorithms • Able to prioritize duties and work well on your own • Ability to work with both internal and external partners • Skilled at solving open ambiguous problems • Strong collaboration and mentorship skills Role Description and Responsibilities: Development and deployment of ML/AI-based algorithms and agents Collaborate with product and engineering teams to design, implement, and improve AI algorithms and models for specific enterprise use cases Expertise in prompting, benchmarking and fine-tuning LLMs to achieve optimal output Having up-to-date knowledge about putting foundation models and action models to work and familiarity with the theory
Requirements: Proficiency in ML models/algorithms, as well as experience with Foundation models such as LLMs, open source models, and multimodal models Proven track record in designing, benchmarking, optimizing, productionizing, and deploying AI models at scale. At least 2 years of hands-on experience in developing and deploying AI applications Strong programming skills in Python and with ML/AI Bachelor's or Master's degree in Computer Science or a related field. Competitive compensation includes salary and stock options
Link:https://www.across.ai/jobs?ashby_jid=173f297f-23cb-4f47-aa08-6f9fb02f9310See More >>
Merck AI Research Scientist, Foundation Models Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission of inventing new medicines tha... t save and improve lives. Core to the Data, AI, and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection, and elucidating complex disease mechanisms. As a senior AI scientist, you will be responsible for pre-training and fine-tuning biological foundation models, analyzing pre-trained models posthoc, building rigorous benchmarks for evaluating foundation models, and serving in-house trained foundation models. Your work will advance our understanding of complex diseases and support the development of innovative therapeutic strategies. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers who strive to identify therapeutic targets. Primary Responsibilities * Collaborate with cross-functional teams to identify research questions and data requirements and develop appropriate solutions. * Develop and train transformer-based (and related state-space models) foundation models for -omics data. * Interpret and post-hoc analyze pre-trained models. * Rigorously benchmark and evaluate the performance of both in-house and publicly available models. * Host and serve in-house models and make them accessible to scientists across our Company. * Stay up to date with the latest advancements in machine learning and statistics and apply relevant advancements to improve existing methodologies and models. * Publish research findings in relevant conferences and journals and actively contribute to the scientific community through knowledge sharing and collaborations.
Link:https://www.linkedin.com/jobs/view/4098720510See More >>
Senior IC7/TLM2, IC6/TLM1/M1 Research Scientist/Engineer/Manager
Meta Please make sure you’ve enclosed your resume in the Whova system. Otherwise we won’t process your application.
We’re hiring IC7/TLM2, IC6/TLM1/M1 Research Scientist/Enginee... r to advance cutting-edge Generative AI and Large Language Models (LLMs). Collaborate with world-class researchers on groundbreaking projects like AI Studio, Meta AI team in GenAI org.
💡 Qualifications: Senior researcher/engineer/manager (not for new graduate) Text based GenAI experiences (LLM) Team leadership
🌍 Bellevue, Menlo Park, New York, Seattle, or Remote, US.
Machine Learning Engineer - Foundational VLM Robotics Agent Research
MAUM.AI At WoRV (World Model for Robotics and Vehicle Control), we are developing a general-purpose foundation model that seamlessly integrates text, images, video, and actions to tackle ... real-world challenges in robotics and autonomous driving.
We thrive in a dynamic and flexible environment where open communication and collaboration are at the heart of everything we do.
Instead of assigning tasks, we empower each team member to take full ownership of their work, engage in meaningful discussions, and work toward our shared goals.
You will collaborate with passionate and talented colleagues, all united by a common vision and guided by leading experts in AI research.
Our mission goes beyond just academic research; we are committed to turning innovative ideas into tangible solutions that make a real-world impact. If this excites you, we’d love to have you on our team.
Nuro I am actively looking for talented individuals to join our Autonomy ML Infrastructure team at Nuro. We’re hiring for various positions at all levels, from Senior to Staff.
CISPA Helmholtz Center for Information Security Im The Relational Machine Learning Group led by Rebekka Burkholz at the Helmholtz Center CISPA in Saarbrücken (Germany) has an open PostDoc in association with an ERC Starting Grant ... called SPARSE-ML.
What it is about: Deep learning continues to achieve impressive breakthroughs across disciplines and is a major driving force behind a multitude of innovations. For instance, it has helped computers convert text into images, assist in the design of new drugs, generate code, and even find fast matrix multiplication algorithms. Yet, it comes at considerable costs. It requires huge amounts of data to learn complex models that are difficult to interpret and are vulnerable to attacks. The major goal of the Relational Machine Learning Lab is to alleviate these problems based on sound theoretical insights and broaden the applicability of deep learning across the natural sciences and biomedical domain.
Possible research topics include: * deep learning (theory and applications) * LLM efficiency (in collaboration with Apple Research) * sparse learning and modelling (e.g. lottery tickets) * graph neural networks * robust learning algorithms * etc.
What we offer: All positions are fully funded and come with excellent working conditions, such as a competitive salary, social security, 30 days of vacation, spacious offices, and generous travel support. Participation in teaching is encouraged, but not required. We are a small (but increasing) team with a flat management structure and a collaborative work culture. Everyone is welcome to engage in discussions and contribute to joint projects. Please reach out to us if you are interested.
CISPA Helmholtz Center for Information Security Im The Relational Machine Learning Group led by Rebekka Burkholz at the Helmholtz Center CISPA in Saarbrücken (Germany) has several open PhD positions for a 4 year program in associa... tion with an ERC Starting Grant called SPARSE-ML.
What it is about: Deep learning continues to achieve impressive breakthroughs across disciplines and is a major driving force behind a multitude of innovations. For instance, it has helped computers convert text into images, assist in the design of new drugs, generate code, and even find fast matrix multiplication algorithms. Yet, it comes at considerable costs. It requires huge amounts of data to learn complex models that are difficult to interpret and are vulnerable to attacks. The major goal of the Relational Machine Learning Lab is to alleviate these problems based on sound theoretical insights and broaden the applicability of deep learning across the natural sciences and biomedical domain.
Possible research topics during your PhD include: * deep learning (theory and applications) * sparse learning and modelling * LLM efficiency (in collaboration with Apple Research) * graph neural networks * robust learning algorithms * meaningful applications: * molecular biology * AI for drug discovery * etc.
What we offer: All positions are fully funded and come with excellent working conditions, such as a competitive salary, social security, 30 days of vacation, spacious offices, and generous travel support. Participation in teaching is encouraged, but not required. We are a small (but increasing) team with a flat management structure and a collaborative work culture. Everyone is welcome to engage in discussions and contribute to joint projects.
Link:https://cispa.de/en/research/groups/burkholzSee More >>
Software Engineer / Research Scientist, PyTorch AI Acceleration
Meta Meta PyTorch AI Acceleration - RecSys Inference Optimization team is hiring. We specialize in GPU Inference enablement and performance optimization for recommendation system deep ... learning models.
Join us to tackle unique challenges at the intersection of deep learning, accelerators, and PyTorch.
German Research Center for Artificial Intelligence Interested in socially beneficial applied AI & data science research? Here at the German Research Centre for Artificial Intelligence (based in Kaiserslautern or Berlin), we ar... e looking for enthusiastic junior and senior researchers to join our growing department: Data Science and its Applications (DSA).
In healthcare, the current gold standard for developing care guidelines are clinical trials. They tend to be costly, while testing only a limited number of hypotheses and delivering little benefit to the patients included in the trial. Some health conditions, in particular chronic ones, involve making lifestyle adjustments (e.g. diet, exercise) in addition to pharmaceutical interventions (assuming there are any).
We think AI can help. Our AI4Nof1 project leverages cutting edge developments in (causal, neurosymbolic, thomson) reinforcement learning, psychometrics and digital epidemiology to build adaptive, personalised treatment regimens for chronic conditions, identifying phenotypes and causal pathways, while minimising the time and number of measurements needed for patients to find the right treatment. We will work on developing simulated trials to test out algorithmic solutions based on multi-armed bandits. The solution will then be implemented in the form of a secure m-Health app and a related portal for medical researchers to study population effects. We will then test this solution in the form of two real-world use cases — one related to physical activity of students, the other to soft interventions for one broadly present chronic condition.
This project is led by the Data science and Its Applications research department, and includes collaboration with research partners in human-computer interaction (RPTU Kaiserslautern), causal machine learning (Max Planck Institute for Software Systems) and healthcare (University clinics in Mainz and Homburg).
HP We’re looking for a PhD student with focus on compression, pruning, and quantization to work with us next summer! Your would be working alongside other research scientists and AI/... ML engineers on optimizing AI models for on edge inference.
Link:
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Researcher in Spatio-Temporal Events Modelling
German Research Center for Artificial Intelligence Interested in socially beneficial applied AI & data science research? Here at the German Research Centre for Artificial Intelligence (based in Kaiserslautern or Berlin), we ar... e looking for enthusiastic junior and senior researchers (m/f/d) to join our growing department: Data Science and its Applications (DSA).
An “event” can describe any state with a timestamp. Some events are directly observable (death, crime reports, flooding), while others represent latent changes in an underlying process (flares in disease, social unrest, a cyber-attack). Predicting events is an increasingly important task in science, industry, and public policy.
Project “Eventful” aims to develop new methods for effective modelling of spatio-temporal processes, with applications in understanding complex, compound crises (e.g. a combination of climate crisis, political unrest, violence, food scarcity) and how they influence adverse outcomes for people and the environment.
A key challenge is extracting useful features from high-dimensional, complex or dependent data structures to predict an outcome. Existing machine learning tools and methods need to be extended and adapted to handle such tasks — this is where we come in.
You will help build standardised frameworks for preparation and evaluation of models for longitudinal survey data, patient trajectories, and socio-political processes in noisy or high-dimensional settings. An especially important aspect of this project is the creative handling of real-world data, which includes integrating diverse data sources and types collected at varying resolutions and quality levels.
The project is led by the Data Science and Its Applications research department, and includes collaboration with the University of Oxford, the Machine Learning for Global Health network and third sector organisations active in India and Sub-Saharan Africa.
German Research Center for Artificial Intelligence Interested in socially beneficial applied AI & data science research? Here at the German Research Centre for Artificial Intelligence (based in Kaiserslautern or Berlin), we ar... e looking for enthusiastic junior and senior researchers to join our growing department: Data Science and its Applications (DSA).
The project will involve
- Identifying opportunities for applications of AI to improve multi-omics research - Development of reusable ML pipelines for bioinformatics research - Extending statistical methodology to new areas and regimes, especially evaluating existing methods for classification to time-to-event prediction tasks - Collaboration with domain experts, including biostatisticians and clinicians - Dealing with limitations of sparse and sensitive data, through appropriate use of ‘small data’ approaches, for example data augmentation, synthetic data generation, transfer learning, Bayesian models or use of knowledge graphs.
*Essential*:
- Master’s degree in bioinformatics, computer science, systems biology, statistics, data science, mathematics or a related quantitative field - Advanced Python programming skills and familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow) or probabilistic programming (e.g. Stan) - Detailed knowledge and understanding of machine learning algorithms - Demonstrable research interest in applying machine learning and statistical models to the analysis of high-dimensional data, such as bioinformatics or clinical records - Good English communication skills, written and spoken
Desirable
- Prior experience in bioinformatics, or omics - Experience in open-source development - Familiarity with scientific writing
Benefits
- Competitive remuneration and social benefits; - Collaboration on high-impact projects in a diverse, motivated, multidisciplinary team; - If you have not yet obtained a PhD but would like to, we offer an opportunity to earn a PhD at the University of Kaiserslautern
Link:https://dsa.dfki.deSee More >>
Research Scientist (Agents Post-Training)
UK AI Safety Institute About the role: Junior or Mid-Level Research Scientists/Engineer with experience training RL agents and systems. Work includes building RL environments in PyTorch/Jax, investig... ating, evaluating, and selecting on training algorithms, developing learning curricula, performing hyperparameter sweeps, etc. Prior experience building, debugging, and optimising RL pipelines highly valued.
About us: The UK AI Safety Institute (www.aisi.gov.uk) is the first state-backed project focused on AI safety. We started in London last year, have grown to ~70 technical staff including many folks from top labs, and have focused on pre-deployment evaluations of frontier models. We're now expanding to the US, and want this team to focus on frontiers like the science of evaluations, downstream capabilities prediction, post-training for dangerous capabilities in red-teaming agents, and safety case research to demonstrate why models are safe.
Link:https://boards.eu.greenhouse.io/aisi/jobs/4464652101See More >>
Research Scientist, GenAI
Google Research We are a small, high-performing team in Google Research. We take a holistic and interdisciplinary approach to modeling user behavior, ranging from measuring and modeling attention... to end-user sentiment. We have a strong track record of impactful wins across advancing research (e.g. GenAI image quality), search (e.g. helping accelerate experimentation velocity) and ads (e.g. helping with asset generation/automation), collaborating heavily across PAs. If you're passionate about advancing user understanding to improve AI and Google's products, this project may be a good fit for you. While Google is making big bets on GenAI, there's a huge gap in user understanding. For example, how do we tell when users are happy with GenAI quality vs. confused or struggling? Modeling user behavior - from attention to preferences and sentiment - is critical to build a "Human (user) - AI flywheel" where the AI can understand and learn from humans (users), in order to deliver impactful wins for users across the world.
Minimum qualifications You must meet these minimum qualifications * PhD degree in Computer Science, a related field, or equivalent practical experience. * One or more scientific publication submission(s) for conferences, journals, or public repositories. * Coding experience in Python, JavaScript, R, Java, or C++.
Preferred qualifications * 2 years of coding experience in Python, JavaScript, R, Java, or C++. * 1 year of experience owning and initiating research agendas. * Experience with LLMs and GenAI models and methods.
IST I am looking for PhD students and post-docs for the ERC-funded project DECOLLAGE, whose goal is to develop new methods for language generation with high level cognition capabiliti... es.
Link:https://andre-martins.github.io/pages/jobs.htmlSee More >>
Swoop Conversational AI Fully remote position in Conversational AI for HealthCare.
Join a small engineering team at an established and profitable startup with 100M+ revenue. You will have the o... pportunity to join the ML & Data engineering team at an early stage and define the team.
For more information, feel free to visit our website!
Happy to connect with job seekers or people interested in the intersection of Healthcare x AI
Sanford Laboratories for Innovative Medicines We seek a highly qualified and motivated Scientist with a strong background in machine learning/generative AI to join the AI Platform at Sanford Laboratories for Innovative Medici... ne (aka Sanford Labs). Sanford Labs is an independent, not-for-profit biomedical research organization with a mission to discover and deliver the next generation of molecular medicines.
RNA therapeutics consist of a rapidly expanding class of modalities (e.g., ASOs, siRNAs, mRNAs, and RNA aptamers) that can generate fast-track solutions in the clinic. At Sanford Labs, you will participate in developing and implementing AI/ML models and optimization paradigms to design best-in-class RNA therapeutics. As a Machine Learning Scientist, you will focus on designing and optimizing advanced AI/ML algorithms to address complex challenges in RNA therapeutics. You will develop and implement state-of-the-art architectures to enhance RNA sequence design, collaborating closely with interdisciplinary teams across Sanford Labs. This position offers an exciting opportunity to apply and refine cutting-edge machine learning methods while advancing innovative therapeutic solutions.
The ideal candidate will have a strong foundation in machine learning, experience with modern AI architectures (e.g., transformers, diffusion models, or graph neural networks), and a keen interest in applying computational approaches to real-world problems in RNA biology and therapeutic discovery.
Link:https://www.linkedin.com/jobs/view/4090187005See More >>
Amazon 2025 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics
Are you a brilliant mind seeking to push the boundaries of what'... s possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions.
Intuit Intuit AI Research is hiring AI research interns to join our team of researchers to work on foundational AI problems that directly influence Intuit’s portfolio of fintech offering... s to millions of consumers and small businesses. As a research intern at Intuit, you are expected to work on cutting edge AI technologies, leading to innovative solutions that push the state of the art in AI while improving our customer experience.
Areas of interest include
1. Robust and trustworthy LLMs 2. Neuro-symbolic methods for generative AI 3. Knowledge representation and learning 4. Language agents for enterprise systems 5. Multimodal generative AI
As an AI Research intern at Intuit, you will join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers to research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers’ needs, both current and future.
This position is intended for students in a degree-seeking program, to which they will return at the end of the summer internship in 2025. The length of the internship is 12-14 weeks.
Qualifications: Currently enrolled in a PhD degree program in Computer Science/Electrical Engineering/Statistics/Applied Mathematics/Computational Linguistics or a related field. Experience in one area of AI (e.g., knowledge representation and learning, language agents, alignment, reinforcement learning, multimodal generative AI) is required. Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ACL, AAAI, EMNLP, ACL, AISTATS, KDD) Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks Experience in dissemination of scientific work in English through paper submissions, and conference presentations.
Adobe We are looking for a passionate and dedicated PhD candidate graduating by the summer of 2026 for an Applied Research Scientist Internship focused on advancing generative AI (LLM a... nd MLLM) for creative imaging applications such as Photoshop. This internship offers the opportunity to work with a multidisciplinary team of researchers, engineers, and domain experts in reshaping the future of technology and experiences for millions of digital imaging customers!
Link:https://careers.adobe.com/us/en/job/R149639See More >>
7 x Associate Professor at UNSW Sydney (QS ranked 19th in the world)
University of New South Wales UNSW Computer Science and Engineering is hiring multiple Associate Professors (Level D, post tenure) on: - Algorithms - Computer Graphics - Embedded Systems - Formal ... Methods - NLP - Theoretical Machine Learning - Robotics Closing 27 Jan 2025. Those wanting to know about working at UNSW, and more broadly, in Sydney and Australia do reach out 🦘🎓
Postdoctoral Fellow in Computational Social Choice / Algorithmic Game Theory
UNSW Postdoctoral Fellow in Computational Social Choice / Algorithmic Game Theory Location: UNSW Sydney, Australia Categories: Post Doctoral Research Associate The Opportunity... The School of Computer Science and Engineering has an opportunity for a Postdoctoral Fellow. You will be supporting the research of the ARC Laureate Fellowship on ”Trustworthy AI” that is led at UNSW by Prof. Toby Walsh. It is highly desirable if you have published in conferences such as AAAI, IJCAI, ACM EC, WINE, AAMAS, NeurIPS, or ICML. This position will give you the opportunity to develop your scholarly research and professional activities both nationally and internationally in the area of computational social choice/algorithmic decision theory. This role reports to Professor Toby Walsh and has no direct reports. Level A, Salary - $106,337 to $113,737 per annum + 17% superannuation Full time Fixed-term contract – 12 months, start date (negotiable but sometime in 2025) Please send your CV and details of your availability to Toby Walsh, tw@cse.unsw.edu.au Link:
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Applied AI Researcher
Benchmarkthing.com **About the Role**
As an AI Research Engineer, you will be instrumental in developing our evaluation frameworks and agent orchestration systems. You'll work directly with t... he founding team to build standardized cloud environments for AI workflow execution.
Key areas of focus:
- Evaluation framework development and standardization - Agent workflow orchestration and execution environments - Performance measurement and benchmarking systems - Distributed computation infrastructure
**Responsibilities**
- Design and implement core components of our evaluation infrastructure - Build and optimize distributed systems for running AI model evaluations - Create efficient pipelines for processing and analyzing large-scale evaluation data - Work directly with customers to understand their needs and improve our platform
**Requirements**
- 3+ years of experience in building AI/ML infrastructure or distributed systems - Strong programming skills in Python and systems programming languages (Go/Rust) - Experience with modern AI/ML frameworks (PyTorch, TensorFlow, etc.) - Familiarity with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes)
**Nice to Have**
- Experience with AI model evaluation and benchmarking - Contributions to open-source AI/ML tools or infrastructure - Knowledge of vector databases and large-scale data processing
**Location**
San Francisco Bay Area preferred, remote work possible for exceptional candidates
**What We Offer**
- Competitive salary and significant equity in a venture-backed startup - Comprehensive health, dental, and vision insurance - Flexible work arrangements with option for remote work - Opportunity to shape the future of AI infrastructure
Link:https://xdotli.notion.site/14442f1b5dcf81caabdfedc8a273536e?pvs=105See More >>
Postdoctoral Research Fellow - Artificial General Intelligence (AGI)
MERL Mitsubishi Electric Research Laboratories (MERL) is seeking exceptional candidates for a Postdoctoral Research Fellow position focused on artificial general intelligence (AGI) res... earch. This unique opportunity allows early-career scientists to pursue their own original research agenda at an academically-oriented industrial laboratory. This position offers a valuable stepping-stone for both academic and industrial research career paths. The expected appointment for a Postdoctoral Research Fellow is 2 years and may lead to a subsequent full-time employment at MERL. Please make an application through the link .
Link:https://www.merl.com/employment/employment/#CI0130See More >>
Intern - Human-Aware Interactions and Learning
Toyota Research Institute Our team at Toyota Research Institute is seeking motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. A... reas of interest are around human-aware intelligent vehicles - human-robot interactions, multi-agent reasoning and decision making, driver state and behavior understanding, interpretable representations for reasoning such as language, and human-machine teaming/interaction and computational teaching of humans.
In this project, we’re looking at innovative approaches that reframe how driver and vehicles interact. We work towards AI that challenges traditional approaches for prediction, planning, and interaction with the driver, with multiple research opportunities along the way.
The project will focus on researching new approaches towards this goal, with a publication in a top-tier conference. The technology developed in the internship is crucial for next-generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create. The internship will be in our Cambridge, MA research center, where you will be working with strong researchers, with many resources to utilize, and with competitive compensation for your hard and fun work. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply at: https://jobs.lever.co/tri/c90c6dd9-a02e-454b-82f3-6b23ddf53a90.
Responsibilities:
- Research and publish in a relevant venue for these topics. (e.g NeurIPS, CVPR, ICRA, HRI).
- Work with a team of researchers toward new approaches for understanding, predicting, and interacting with humans - from approach inception and ideation (w/ mentor) to validation of the developed approaches.
Qualifications:
- Ph.D. Student, with publications in relevant fields.
Associate/Assistant Professor Position
in Neuro‐Symbolic Natural Language Processing at Télécom Paris / IP Paris
Institut Polytechnique de Paris Job offer: Assistant/Associate Professor The successful candidate will join the school as a permanent member of the faculty in the team “DIG” (Data, Intelligence, Graphs), with... the duties of teaching, research, and the development of industrial partnerships. A committee will decide whether the candidate obtains the title of Assistant Professor (usually if the candidate does not yet have a habilitation/HDR) or Associate Professor (usually when the candidate has a habilitation). In both cases, the job is a permanent position from the start. In their later career, assistant professors can obtain their habilitation and become associate professors. Associate professors can apply for a promotion to a full professor.
Topic: Neuro‐Symbolic Natural Language Processing Large language models (LLM) have revolutionized natural language processing, and they will continue to profoundly affect our society. And yet, the models are based on a probability distribution of words learned from texts, which sometimes deviates from reality (leading to the problem of hallucinations). The challenge is then to link these models with knowledge about the real world (structured, logical, explainable knowledge). The job offer aims to develop the synergy between neural AI and symbolic AI, and to bring about a symbiosis that links the ease of interaction of language models with the formal and verifiable foundations of symbolic methods.
Desired Expertise The candidate must have a PhD in computer science or mathematics. She or he must have general skills in artificial intelligence, and in natural language processing in particular.
The list of desired expertise includes: • Natural language processing (language models, transformers, classical methods) • Symbolic formalisms (logic, knowledge representation, knowledge graphs, databases, automatic reasoning, theorem proving) • Open data and open-source projects
Link:
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Data Scientists and Engineers - Many Levels
Commonwealth Bank of Australia Commonwealth Bank is one of the leading banks in Australia, servinge more than 17 million customers. We focus on providing retail and commercial banking services predominantly in ... Australia.
Commonwealth Bank has been recognised in the top five banks globally for artificial intelligence (AI) maturity, moving up one place, and maintained #1 position in APAC in the 2024 Evident AI Index.
Commonwealth Bank continues to invest in AI to enhance customer experience and improve people outcomes. There are many AI roles available across the bank from Distinguished AI scientists and Distinguished Engineers roles to Data Scientists. Positions are open across Australia and India.
Research Scientist, Research Engineer LLMs in Azure Data (Barcelona)
Microsoft Work with a team of 20 researchers on the application of LLMs to databases, data science and business. Ideally has experience with building systems using LLMs and is interested i... n both research and developing production level systems.
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Senior Computer Vision Developer
Miovision Miovision is seeking a Senior Computer Vision Scientist who is passionate about advancing the field of computer vision through innovative approaches to simulated environments, 3D ... scene understanding, and robust model development. You will bridge cutting-edge research and practical applications, translating advanced computer vision concepts into production-ready solutions. Your expertise in simulation technologies and real-world data integration will help shape our technical strategy and product development, helping cities create safer streets and reduce traffic congestion through AI-powered solutions that work reliably in real-world conditions. Further information can be found on the attached link.
Link:https://miovision.applytojob.com/apply/pcPNXJ4mGMSee More >>
Opportunities in the UK (AI Futures)
AI Futures, UK Government (Department for Business and Trade) Are you an AI researcher interested in working in the UK?
The UK Government’s AI Futures team can help connect you with companies and research groups you’d like to work wit... h and provide information on living and working in the UK.
We can also provide information on collaboration and funding opportunities, starting a business in the UK and visas.
Get in touch if you’d like to chat with one of our team.
Link:
None
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(Sony) Internship - AI Application Engineer_SIGGRAPH Asia_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Join our team of Research and Development engineers and embark on an exciting journey of applied research and ... prototype development! As part of our diverse and innovative projects, you will address real-world challenges in natural language processing, computer vision, machine learning, human-computer interaction, cloud services, computer graphics, data analysis, and their intersections. At Sony Group, encompassing Sony, Sony Pictures Entertainment, Sony Music Entertainment, Sony Interactive Entertainment, and Sony Life Insurance, you will have the opportunity to propose cutting-edge user and creator experiences that contribute to various businesses.
Here are some ongoing projects you could participate in:
■ The Future of Content Production - VIRTUAL PRODUCTION Sony is enabling creators to embrace the innovative approach of content production through virtual production by developing technologies and providing solutions. We are exploring AI utilization for generating 3D scenes and assets to deliver end-to-end creative services. https://square.sony.com/ces2024/virtual-production/
Sony Group Corporation (To apply, and for more info, please click the attached link)
Sony is developing advanced AI that operates in various use cases and environments, such as autonomous driving... and game AI. While it is necessary to prepare vast amounts of data for different scenarios, the preparation of the data itself and its annotation pose challenges. Our team is at the forefront of developing new AI learning technologies, leveraging a wide array of training data, including annotated, unannotated, and synthetic data. We are in search of engineers eager to innovate in AI learning technologies and advanced AI systems. Our projects span from autonomous driving and generative AI in gaming and imaging to focusing on large-scale computing and distributed processing.
As a software engineer on our team, you will engage in projects critical to Sony's diverse needs, contributing directly to the advancement of AI technology. Moreover, you will have the opportunity to integrate these AI technologies across various Sony business domains, ranging from gaming to finance. This role not only allows you to contribute to the development of cutting-edge AI training technologies but also offers a pathway to grow into a versatile engineer, akin to a full-stack developer, grounded in a broad understanding of software development.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/job/Tokyo---Osaki/Full-Time---Machine-Learning--Software-Engineer_JR-116650?q=NeuripsSee More >>
(Sony) Internship - Research Engineer for Natural Language Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Our team is building a wide range of natural language processing technologies intended to be applied to enter... tainment content creation and business data analysis. You will work on advanced research in natural language processing. Your main task will be the research and development of multilingual LLM and downstream task for content creation intended to reduce hurdles for content distribution and make workflow more efficient. We expect to utilize this technology in movies, anime and games and contribute to deliver Sony's content to more customers faster.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/job/Tokyo---Osaki/Internship---Research-Engineer-for-Natural-Language-Processing_JR-116531?q=NeuripsSee More >>
(Sony) Full-Time - AI Application Engineer_SIGGRAPH Asia_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Join our team of R&D engineers to embark on an exciting journey of applied research and prototype develop... ment! Within our diverse and innovative project portfolio, you will have the opportunity to take on real-world challenges related to the fields of natural language processing, computer vision, machine learning, human-computer interaction, cloud services, computer graphics, data analysis, and their intersections. As such, you will have the opportunity to propose cutting-edge user and creator experiences that contribute to a range of businesses within Sony Group, including Sony Pictures Entertainment, Sony Music Entertainment, Sony Interactive Entertainment, and Sony Life Insurance.
Below are examples of ongoing projects you may contribute to:
■ Content Creation Support Technology: Develop technology for the automatic generation of dialogue and live commentary in entertainment (such as movies), animation, games, and music. Our goal is to enhance content creation workflows and collaborate with various divisions to explore automatic content creation for "virtual productions". ■ Multimodal AI Application Technology: Dive into the exciting field of multimodal AI, combining different modalities such as images and text to solve complex tasks. Here, we contribute to the development of practical multimodal AI application technologies for Sony Group's businesses, with a focus on vision-based lightweight gaze estimation, video-based play-by-play commentary generation, and dialogue-based non-verbal gesture generation. ■ Financial Consulting Assistant AI: Help revolutionize remote financial consulting to support Sony Life's life planners and our other financial services. Develop AI-powered solutions to complement nonverbal information, generate consultation summaries, and provide relevant information during customer interactions.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/job/Tokyo---Osaki/Full-Time---AI-Application-Engineer_JR-116505?q=NeuripsSee More >>
(Sony) Internship - Research Engineer for Speech/Audio Signal Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
(Sony) Full-Time - Software Engineer, Applied Crytography or Watermarking_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
We are developing security related technology in the fields of applied cryptograpy and watermarking which are... utilized to protect user's privacy and ensure authenticity of creative works such as image, video etc. By collaborating with teams throughout Sony Group working in diverse business domains including music, movie, finance, consumer electronics and new Web3 businesses, there are a lot of opportunities to develop unique technologies with actual applications. We are therefore seeking a Security Engineer with experience and expertise in the technolog fields to innovate with us and push our work forward.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Full-Time---Software-Engineer--Applied-Crytography-or-Watermarking_JR-116527?q=neuripsSee More >>
Postdoc in Collaborative Learning
CISPA The team of Sebastian Stich at CISPA is hiring a PostDoc with expertise in deep learning, interested in contributing to aspects of collaborative intelligence.
Possible rese... arch topics include: - Collaborative learning - Continual and lifelong learning - Federated (or decentralized) learning -Knowledge distillation - etc.
Link:https://www.sstich.ch/See More >>
PhD in Collaborative Learning
CISPA The team of Sebastian Stich at CISPA is offering a PhD position for candidates with expertise in deep learning or optimization. The position is associated with the ERC Consolidato... r Grant CollectiveMinds. The research focus can either be on the theoretical side or on practical impact and real-world applications.
Possible research topics include: - Collaborative learning - Continual learning - Deep learning optimization & theory - Fairness, robustness, and personalization - Federated (or decentralized) learning - Knowledge distillation - Privacy-preserving machine learning - etc.
(Sony) Full-Time - Senior Research Engineer for Natural Language Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Our team is building a wide range of natural language processing technologies intended to be applied to entert... ainment content creation and business data analysis. You will work on advanced research in natural language processing. Your main task will be the research and development of multilingual LLM and downstream task for content creation intended to reduce hurdles for content distribution and make workflow more efficient. We expect to utilize this technology in movies, anime and games and contribute to deliver Sony's content to more customers faster.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Full-Time---Senior-Research-Engineer-for-Natural-Language-Processing_JR-116533?q=neuripsSee More >>
(Sony) Internship - Research engineer for data science and machine learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
For this position, we are looking for researchers with strong expertise in data science and machine learning,... including causal inference, recommender systems, sports analysis, or related fields. Candidates should be capable of developing and evaluating such algorithms using real data from commercial services. Sony group aims to engage with over 1 billion users through its direct-to-consumer (DTC) services. To achieve the goal as a research and development hub for the einter group companies, our team upholds the theme of "Human-Centered Data Science" and conducts research and development within the following scope: Human as a Data Source: - Acquiring customers and enhancing user engagement through personalization - Understanding behaviors and extracting insights both online and offline - Creating new experiences based on these technologies and insights Human as a Data User: - Developing AI and data science technologies that are user-friendly for data analysts and creators - Enhancing interaction technologies for improved usability and effectiveness
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/Internship---Research-engineer-for-data-science-and-machine-learning-KDD_JR-116890?q=neuripsSee More >>
(Sony) Full-Time - Senior Research Engineer for Speech/Audio Signal Processing_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
(Sony) Full-Time - Research engineer for data science and machine learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
For this position, we are looking for researchers with strong expertise in data science and machine learning, ... including causal inference, recommender systems, sports analysis, or related fields. Candidates should be capable of developing and evaluating such algorithms using real data from commercial services. Sony group aims to engage with over 1 billion users through its direct-to-consumer (DTC) services. To achieve the goal as a research and development hub for the einter group companies, our team upholds the theme of "Human-Centered Data Science" and conducts research and development within the following scope: Human as a Data Source: - Acquiring customers and enhancing user engagement through personalization - Understanding behaviors and extracting insights both online and offline - Creating new experiences based on these technologies and insights Human as a Data User: - Developing AI and data science technologies that are user-friendly for data analysts and creators - Enhancing interaction technologies for improved usability and effectiveness
(Sony) Internship - Researcher / Natural Language Processing (NLP) for Multimodal Machine Learning_NeurIPS
Sony Group Corporation (To apply, and for more info, please click the attached link)
Technologies like generative AI have the potential to transform the lifestyles of consumers and the workflows ... of professional creators. Sony R&D is developing large-scale generative AI technologies for content generation and restoration. This is called Sony generative AI, and is broken down into three categories: diffusion-based models, stochastic vector quantization techniques, and visual-and-language pre-training. Sony generative AI is expected to become an integral part of the music, film, and gaming industries in the years ahead. We at Sony R&D would like to make the most out of our unique opportunity to work directly with world-leading entertainment groups within those industries. Demonstrations of media generation and restoration are available at https://sony.github.io/creativeai.
(Sony) Return to selected search result [Intern] Engineer / Researcher - Affective Computing (brain technology, biomedical engineering and signal processing)_NeurIPS
Sony Corporation (To apply, and for more info, please click the link attached)
For the purpose of better understanding people, we are conducting both hardware and software research on vital... sensing, emotion estimation, and its intervention technologies to support all businesses (e.g. Entertainment services (Music, Game, Movie), Electronics, Automotive, Financial Services, and new businesses) in Sony Group. Our goal is to acquire fundamental technologies that approach the internal state of human beings to enhance User Experience of services and products. You will get a good R&D experience with interdisciplinary researchers of Vital sensing (i.e., non-invasive pysiological signals such as EEG, PPG, EDA etc. ) and Emotion estimation technology based on psychophysiological mechanism and have opportunities for receiving feedbacks from business division on the research.
Link:https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyJapanCareers/details/XMLNAME--Intern--Engineer---Researcher---Affective-Computing--brain-technology--biomedical-engineering-and-signal-processing-_JR-116961?q=neuripsSee More >>
Pre-Doctoral / Research Fellow Positions in Spatio-Temporal Modelling and Event Data Analysis
German Research Center for AI (DFKI) you a recent graduate looking to gain hands-on research experience in AI and data science before pursuing a PhD? Join the Data Science and its Applications (DSA) department at th... e German Research Centre for Artificial Intelligence (DFKI) on a 6-24 month fixed-term contract to work on cutting-edge spatio-temporal modelling and event data analysis. “Project Eventful” focuses on understanding and predicting events—observable occurrences (e.g., deaths, crimes) and latent changes (e.g., disease flares, unrest)—to address real-world issues like complex crises and their effects on people and the environment. Key areas include time-to-event analysis, longitudinal data modelling, and tackling challenges like extracting insights from high-dimensional, dependent data. You will work on frameworks for modelling longitudinal data, patient trajectories, and socio-political processes, integrating diverse data sources of varying quality levels. Collaborators include the University of Oxford, the Machine Learning for Global Health network, and organisations in India and Sub-Saharan Africa. This role provides excellent preparation for a PhD, offering the chance to work with experts, gain advanced skills, and make a meaningful impact. Applicants should have a degree in a computational field (bachelor’s for junior researchers, master’s for researchers) such as statistics, computer science, or data science. Proficiency in Python and strong communication skills in English are essential. Expertise in modelling crises, spatio-temporal processes, or geospatial data analysis is highly desirable. Knowledge of causal inference, survey design, or programming in R is a plus. Company: German Research Centre for Artificial Intelligence (DFKI) Location: Kaiserslautern or Berlin, Germany
Link:https://dsa.dfki.de/jobs/See More >>
Pre-Doctoral / Research Fellow Positions in Causal Reinforcement Learning for Precision Medicine
German Research Center for AI (DFKI) Are you interested in using AI to address healthcare challenges while gaining valuable research experience before a PhD? Join the Data Science and its Applications (DSA) departmen... t at the German Research Centre for Artificial Intelligence (DFKI) on a 12-24 month fixed-term contract and contribute to cutting-edge research in causal reinforcement learning for precision medicine. The AI4Nof1 project focuses on building adaptive, personalised treatments for chronic conditions using advanced techniques such as Bayesian bandits, causal reinforcement learning, and active learning. You will help develop simulated trials, secure m-Health applications, and research portals for studying population-level effects. Real-world applications include interventions for physical activity in students and chronic disease management. Collaborators include leading experts from RPTU, the Max Planck Institute for Software Systems, and university clinics in Mainz and Homburg. Applicants should have a degree in a computational field (bachelor’s for junior researchers, master’s for researchers) such as statistics, computer science, or data science. Proficiency in Python and strong communication skills in English are essential. Experience in randomised controlled trials, Bayesian experimental design, reinforcement learning, or causal inference is highly desirable. This is a unique opportunity to develop advanced skills and work on impactful healthcare research with a supportive team.
Tenure-Track or Tenured Position at the Rank of Associate or Full Professor | Tier 1 Canada Research Chair in Ocean Data Analytics |
Dalhousie University The Faculty of Computer Science at Dalhousie University invites applications for a NSERC Tier 1 Canada Research Chair (CRC) in Ocean Data Analytics. This position is designated to... candidates who self-identify as a woman or member of another gender equity seeking group. The Tier 1 CRC in Ocean Data Analytics will be a tenure-track or tenured position at the rank of Associate or Full Professor (commensurate with experience) with an anticipated start date of July 1, 2025. The ideal candidate will lead groundbreaking research in Ocean Data Analytics, leveraging their fundamental expertise in artificial intelligence to address global challenges through the innovative use of ocean data. However, candidates with expertise in AI and interest in broader scopes of ocean data (e.g., fisheries, coastal-community impacts, or AI and climate technology) are also highly encouraged to apply. Most importantly, the research focus of the new CRC must be centered on two of Dalhousie’s Strategic Research Clusters: AI and Digital Innovation and Sustainable Ocean.
The CRC program was established by the Canadian Federal Government with the purpose of attracting outstanding researchers to the Canadian university system. Tier 1 Chairs are intended for exceptional scholars acknowledged by their peers as world leaders in their fields. Please contact the research grants office and see the CRC website (www.chairs.gc.ca) for more information on eligibility.
Probationary Tenure-Track or Tenured Position at the Rank of Assistant or Associate Professor | Tier 2 Canada Research Chair in Artificial Intelligence and Healthy Aging
Dalhousie University The Faculties of Computer Science and Health at Dalhousie University invite applications for a Canadian Institutes of Health Research Tier 2 Canada Research Chair (CRC) in Artific... ial Intelligence and Healthy Aging. This position is designated to candidates who self-identify as women or gender equity-seeking persons with a disability. The Tier 2 CRC in Artificial Intelligence and Healthy Aging will be a probationary tenure-track or tenured position at the rank of Assistant or Associate Professor (commensurate with experience) jointly appointed to the Faculties of Computer Science and Health, with an anticipated start date of July 1, 2025. The successful candidate will have demonstrated potential and capacity to develop and lead an internationally recognized research program that develops new machine-learning techniques and looks to apply them to applications in health and healthcare-related fields focusing on healthy aging. The successful applicant’s research program will crosscut the priority areas of ‘AI & Machine Learning’ in Computer Science and ‘Body function and mobility across the health continuum’ in the Faculty of Health and align with ‘AI & Digital Innovation’ and ‘Healthy People, Communities, & Populations’, two of Dalhousie’s six Strategic Research Clusters.
Link:https://dal.peopleadmin.ca/postings/17948See More >>
PhD in Online/Reinforcement Learning for Green Computation Scheduling
University of Copenhagen PhD position to design theoretically grounded online/reinforcement learning algorithms for carbon and cost aware scheduling of computational jobs to reduce CO2 emissions. Solid th... eoretical background is expected. Supervisors: Yevgeny Seldin and Raghavendra Selvan.
Link:https://di.ku.dk/english/about/vacancies/three-phd-fellowships-in-machine-learning/See More >>
Meta We are Meta GenAI team working for Meta AI multimodal (vision) LLM modeling. Hiring for research scientist / engineer. Industrial experience and speech domain experience is prefer... red. Please send your CV, your self introduction including your research highlight, interested work scope, available start time to the listed email address. Thank you!
Link:
None
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Tier 2 Canada Research Chair in Artificial Intelligence and Healthy Aging
Dalhousie University The Faculty of Computer Science at Dalhousie University invites applications for a NSERC Tier 1 Canada Research Chair (CRC) in Ocean Data Analytics. This position is designated to... candidates who self-identify as a woman or member of another gender equity seeking group. The Tier 1 CRC in Ocean Data Analytics will be a tenure-track or tenured position at the rank of Associate or Full Professor (commensurate with experience) with an anticipated start date of July 1, 2025. https://dal.peopleadmin.ca/postings/17974 Link:https://dal.peopleadmin.ca/postings/17974See More >>
Tier 2 Canada Research Chair in Artificial Intelligence and Healthy Aging
Dalhousie University The Faculties of Computer Science and Health at Dalhousie University invite applications for a Canadian Institutes of Health Research Tier 2 Canada Research Chair (CRC) in Artific... ial Intelligence and Healthy Aging. This position is designated to candidates who self-identify as women or gender equity-seeking persons with a disability. The Tier 2 CRC in Artificial Intelligence and Healthy Aging will be a probationary tenure-track or tenured position at the rank of Assistant or Associate Professor (commensurate with experience) jointly appointed to the Faculties of Computer Science and Health, with an anticipated start date of July 1, 2025.
Link:https://dal.peopleadmin.ca/postings/17948See More >>
Fully Funded PhD and Postdoctoral Positions in AI/ML at the University of Maryland Baltimore County
University of Maryland Baltimore County The University of Maryland Baltimore County (UMBC) is excited to announce multiple fully funded PhD and postdoctoral opportunities in Artificial Intelligence, Machine Learning, an... d Federated Learning. These positions focus on advancing AI/ML technologies to address critical challenges in climate and health sciences. We seek highly motivated candidates eager to make a global impact.
Position Overview: Successful candidates will: • Conduct cutting-edge AI/ML research, including federated learning, for climate and health sciences. • Collaborate with UMBC teams and global experts. • Contribute to impactful projects addressing critical societal challenges
Responsibilities: • Perform original research in AI/ML and related applications. • Collaborate with interdisciplinary teams to implement innovative AI solutions. • Publish in high-impact journals and present at major conferences. • (Postdocs) Mentor undergraduate and graduate students.
What We Offer: • Fully funded positions with competitive stipends, tuition waivers (PhDs), and advanced facilities. • A collaborative environment with state-of-the-art resources. • Networking with top researchers across academia, industry, and government.
Ideal Profile: • Strong background in computer science, AI, ML, or related fields. • Experience or interest in federated learning, deep learning, or applied AI. • Proficiency with frameworks like TensorFlow or PyTorch. • Enthusiasm for solving challenges in climate, health, and earth sciences. • Strong communication and teamwork skills.
Qualifications: • PhD Positions: Bachelor’s or Master’s degree in a relevant field. • Postdoctoral Positions: Completed PhD in a relevant field before the start date.
Application Process: Submit your cover letter, CV to Dr. Sanjay Purushotham at psanjay@umbc.edu. Applications are reviewed on a rolling basis. Early submissions are encouraged. Join UMBC to shape the future of AI and tackle global challenges in climate and health sciences!
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Tier 1 Canada Research Chair in Ocean Data Analytics
Dalhousie University The Faculty of Computer Science at Dalhousie University invites applications for a NSERC Tier 1 Canada Research Chair (CRC) in Ocean Data Analytics. This position is designated to... candidates who self-identify as a woman or member of another gender equity seeking group. The Tier 1 CRC in Ocean Data Analytics will be a tenure-track or tenured position at the rank of Associate or Full Professor (commensurate with experience) with an anticipated start date of July 1, 2025.
Link:https://dal.peopleadmin.ca/postings/17974See More >>
PhD in Deep Reinforcement Learning
Dalhousie University My research group has openings for post-bachelor's and post-master's PhD positions in Deep Reinforcement Learning, starting Fall 2025. Our current topics of study within deep rein... forcement learning include model-based reinforcement learning, discovering what to learn, general value functions, off-policy learning, transfer learning, and meta-learning.
Our group provides an inclusive and supportive environment for everyone. I strongly encourage students from underrepresented groups in Computer Science research to apply. This includes, but is not limited to, Dalits, Adivasis, women, Indigenous Peoples, persons with disabilities, members of racialized groups, and members of sexual and gender minority groups.
Raia Health We are searching for a talented Machine Learning Engineer (Sensor Data) to join us full-time and help develop robust data infrastructure and machine learning pipelines for process... ing behavioral and sensor data. This role is intended for engineers with a strong background in building and managing data infrastructures that can handle intensive time series data from wearables and smartphone sensors, combined with expertise in implementing and deploying machine learning models. We’re seeking candidates who can translate our research ideas into efficient backend applications while ensuring the highest standards of data security and privacy.
As an early-stage startup, our close-knit team thrives on robust communication and collaboration across different disciplines. We are relentless in our vision to transform the healthcare experience for chronic disease patients — starting with delivering continuous supportive care to cancer patients.
Link:
None
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Machine Learning Engineer (NLP)
Raia Health We are on the search for a talented Machine Learning Engineer (NLP) to join us full-time and help develop natural language processing (NLP) methods for building reliable and engag... ing patient-facing experiences. This role is intended for skilled engineers with a strong machine learning foundation, proven history of building and deploying impactful machine learning tools and extensive experience in natural language processing. We’re seeking candidates who possess strong software engineering skills, passion for machine learning research, and commitment to building reliable systems for high-stakes, real-world applications.
As an early-stage startup, our close-knit team thrives on robust communication and collaboration across different disciplines. We are relentless in our vision to transform the healthcare experience for chronic disease patients — starting with delivering continuous supportive care to cancer patients.
Link:
None
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Senior ML Researcher at JetBrains Research
JetBrains The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to... improve the state of ML for code by turning the latest academic advances into practical applications.
Our team is looking for a researcher to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation.
Microsoft Research Microsoft Research is seeking exceptional researchers passionate about making robots a helpful and safe part of everyday reality. As a member of our&... nbsp;team and its collaborations, you will do ground-breaking research at the junction of decision-making (imitation learning, RL, planning) and large multimodal models to enable robots to act and learn robustly in weakly structured environments.
Link:https://careers.microsoft.com/us/en/job/1778613/Senior-Researcher-Embodied-AI-Robotics-Microsoft-ResearchSee More >>
Graduate Student Internship, Antibody de novo binder design
Adimab Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, w... e have partnered with over 130 pharmaceutical and biotechnology companies, generating more than 575 therapeutic programs, of which more than 75 have entered clinical trials.
Role Overview: Adimab seeks a graduate student intern to contribute to projects aimed at generating de novo antibody designs for experimental testing in our platform.
Requirements:
Experience in antibody:antigen structure prediction, computational binder design, or in silico methods for distinguishing native protein:protein interfaces, demonstrated through thesis work, presentations, preprints, or publications. Hands-on experience with AlphaFold, ProteinMPNN, and similar tools; proficient in Python, Tensorflow, and PyTorch. The ideal candidate has passed their PhD qualifiers and is 3-4 years into the program.
Responsibilities
Generate de novo antibody designs using applicable computational methods. Work with experimental groups to test predictions and use their feedback to refine the design process.
Location, timing, and compensation
Fully on-site with our Computational Biology group located in Mountain View, California. Start date in Spring/Summer 2025 for approximately 12-16 weeks. Competitive compensation and relocation assistance (if applicable).
Link:https://adimab.applytojob.com/apply/8EgM15ktq6See More >>
Want to study for a PhD in Australia?
Uni. New South Wales (UNSW) (other might be possible) We are looking for new PhD students for the upcoming CSC scholarship round (application due on 17th January 2025, top-ups to full UNSW scholarship may be available) or regular UNS... W scholarship (due on 9th May 2025) at the University of New South Wales (UNSW is ranked #19 in the QS Ranking 2025) or possibly at another Australian universities (June 2025 at the ANU; Giffith Uni. and RMIT may be an option). To succeed, you need an outstanding publication record, e.g., one or more first-author papers in venues such CVPR, ICCV, ECCV, AAAI, ICLR, NeurIPS, ICML, IJCAI, ACM KDD, ACCV, BMVC, ACM MM, IEEE. Trans. On Image Processing, CVIU, IEEE TPAMI, or similar (the list is non-exhaustive). Non-first author papers will also help if they are in the mix. Some patents and/or professional experience in Computer Vision, Machine Learning or AI are a bonus. You also need a good GPA to succeed. Female candidates are especially encouraged to apply. New PhD students will work on problems that may span over fine-tuning/adapting VLMs, LLMs, diffusion models or Graph Neural Networks (PEFTs), design of new (multimodal) Self-supervised Learning and Contrastive Learning Models (images, text, videos, graphs, time series) or Adversarial or Federated learning or other contemporary fundamental/applied problems (learning without backprop, adapting FMs to be less resource hungry, protein de novo design, structured output generative models, visual relation inference etc.) We are open to your interests (be it open category detection, segmentation, action recognition, anomaly detection, node classification, collaborative filtering, incremental learning, hyperbolic geometry, adversarial learning or federated learning, or generative models such as adapting stable diffusion or scoring function models, etc ), if you reach out, we can discuss. Yes, we have GPUs. Interested? Reach out for a chat with Dr. Koniusz. I am at NeurIPS. piotr.koniusz@data61.csiro.au (or p.koniusz@unsw.edu.au, www.koniusz.com)
Link:www.koniusz.com/phd_roles.pdfSee More >>
Intern - Human-Aware Interactions and Learning (revised link)
Toyota Research Institute Our team at Toyota Research Institute is seeking motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. A... reas of interest are around human-aware intelligent vehicles - human-robot interactions, multi-agent reasoning and decision making, driver state and behavior understanding, interpretable representations for reasoning such as language, and human-machine teaming/interaction and computational teaching of humans.
In this project, we’re looking at innovative approaches that reframe how driver and vehicles interact. We work towards AI that challenges traditional approaches for prediction, planning, and interaction with the driver, with multiple research opportunities along the way.
The project will focus on researching new approaches towards this goal, with a publication in a top-tier conference. The technology developed in the internship is crucial for next-generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create. The internship will be in our Cambridge, MA research center, where you will be working with strong researchers, with many resources to utilize, and with competitive compensation for your hard and fun work. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply at: https://jobs.lever.co/tri/c90c6dd9-a02e-454b-82f3-6b23ddf53a90.
Responsibilities: - Research and publish in a relevant venue for these topics. (e.g NeurIPS, CVPR, ICRA, HRI). - Work with a team of researchers toward new approaches for understanding, predicting, and interacting with humans - from approach inception and ideation (w/ mentor) to validation of the developed approaches.
Matchbox venture studio Job Opportunity: AI Research Scout & Analyst for Decentralized Tech Are you passionate about cutting-edge AI research and its potential to transform into decentralized or d... istributed technologies? We’re looking for a talented individual to help us identify and analyze innovative AI projects with the potential to disrupt industries and foster decentralized ecosystems.
In this role, you’ll: • Scout groundbreaking AI research and projects. • Analyze their technical and economic potential for decentralization or distribution. • Collaborate with a forward-thinking team to fund and support the next wave of transformative technologies.
Ideal candidates have a strong grasp of AI/ML research, an interest in decentralized systems, and a desire to bridge the gap between academia and practical impact.
This is an opportunity to shape the future of decentralized AI. Flexible and research-friendly environment
Link:www.nim.networkSee More >>
Coinbase We are looking for an aspiring Machine Learning Engineer to join our team. The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our plat... form more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers. Our Mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain.
What you’ll be doing (ie. job duties):
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale Contribute to our ML models for Risk, work at the intersection of Blockchain and AI technologies Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain What we look for in you (ie. job requirements):
2+ yrs of industry experience as a Machine Learning Engineer Solid software engineering skills Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) Experience with basic ML techniques (e.g., supervised and unsupervised learning) Willingness to learn and adapt to new technologies and challenges
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Sr. Machine Learning Scientist, OTS DataTech AI
Amazon We are looking for a passionate, talented, innovative, experienced and Senior Machine Learning Scientist with a background in building cutting-edge scientific and engineering comp... onents that are highly scalable, extensible, and robust to enable exponential growth and adoption of AI/ML within OTS. In this role, you will play a pivotal role in shaping the vision, roadmap, and execution of science and engineering-based solutions from beginning to end.
You will build foundational GenAI components that will enable our customers to build GenAI applications for their use cases across OTS. You will enable the seamless integration of scientific products with new and existing systems, ultimately leading to increased operational efficiency and productivity across OTS. You will also work on projects involving supervised and unsupervised learning, NLP, and more. You will be responsible to build and maintain an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases within the realms of GenAI, supervised and unsupervised learning, optimization, and more.
Amazon We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art machine learning solutions within the... realms of supervised and unsupervised learning, Generative AI (GenAI), and optimization.
Analog Devices The ideal candidate will have a strong background in electrochemical cells, with specific expertise in fuel cells or electrolyzer cells. The role involves modeling electrochemical... cells using FEA (Finite Element Analysis) or equivalent circuit models, interpreting complex data.
Responsibilities include one or more of the following:
Research and Development: Develop and implement models of electrochemical cells using FEA, physics-based or equivalent circuit methods. Electrochemical Analysis: Interpret Nyquist curves and analyze data including cell voltages, temperatures, pressure, H2 crossover, and thermal imaging to draw meaningful conclusions. Data Analysis and Reporting: Utilize scripting languages (e.g.: Python) for programming and data analytics to support modeling and data interpretation efforts. Additionally, contribute to the development of algorithms and statistical methods for data analysis. Stay Current: Keep up to date with the latest developments in electrochemical cell technologies, fuel cells, and electrolyzers. Qualifications
Education:
PhD in Chemistry, Materials Science, Chemical Engineering, Electrochemistry, Physics or a closely related field. Experience:
Proven experience in electrochemical cells, with a focus on fuel cells or electrolyzer cells, especially PEM. Experience working with an OEM/manufacturer of fuel cell or electrolyzer stacks is preferred but not required. Technical Skills:
Strong background in modeling electrochemical cells using FEA, equivalent circuit or physics-based models. Proficient in interpreting Nyquist curves and analyzing data related to electrochemical cells. Working knowledge of Python for programming and data analytics. Familiarity with algorithms, statistical inference, and classification techniques is a strong plus. Understanding of the energy economy and the role of hydrogen and alternative energy sources is desirable.
Link:https://analogdevices.wd1.myworkdayjobs.com/External/job/US-MA-Boston/Lead-Electrochemistry-Research-Engineer_R242709See More >>
Senior Applied Scientist, FAR (Frontier AI & Robotics)
Amazon As a Senior Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprec... edented ways. You'll drive technical excellence in areas such as perception, manipulation, scence understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between cutting-edge research and real-world deployment at Amazon scale. In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
German Research Center for AI We are seeking talented individuals to join the TRUST-RSML project, focused on enhancing the resilience and security of machine learning systems. Modern AI faces significant vulne... rabilities, including poisoned training data, adversarial examples, data theft, and bypassing model protections. These risks demand innovative solutions to create robust, trustworthy AI pipelines.
The TRUST project aims to bridge critical gaps by automating robustness evaluations and integrating them into standard ML development cycles, reducing costs while maintaining trustworthiness. Key objectives include curating a knowledge base of ML vulnerabilities and mitigation strategies, developing new robustness validation techniques, and designing adaptive, secure ML pipelines.
Desired expertise: • Metrics and dimensions of data quality • Context-specific data quality requirements • Data profiling, validation, and checks • Concept drift and change point modeling for dynamic datasets
Robust Intelligence (now part of Cisco) Robust Intelligence (now part of Cisco) is looking to expand their AI Security research team! We are actively recruiting researchers with an interest in AI Security, AI Safety, an... d LLM Robustness.
If you would like to learn more, please reach out to me (Blaine Nelson) or my colleagues and we can meet up for coffee or a chat.
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Sr. Technical Product Manager
Amazon Lab126 Amazon Device Sustainability team is looking for a product leader to create and drive our carbon footprint publication strategy.
Our ideal candidate will have launched mult... iple, impactful sofwtware products, have demonstrated the ability to lead high-performance teams, and have deep understanding of product management, user experience, and software development processes (especially agile).
Sr. Sustainability Specialist, Devices Sustainability Science and Engineering team
Amazon Lab126 The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looki... ng for a motivated individual contributor with 5+ industry, research and/or consulting experience in sustainability related field, great communication skills, and the passion to collaborate with a cross-functional team to drive products and services sustainability across Amazon devices.
Link:https://www.amazon.jobs/en/jobs/2828609/sr-sustainability-specialist-devices-sustainability-science-and-engineering-teamSee More >>
Postdoc in Optimization
University of Vienna Postdoc in Computational Optimization and related areas. Emphasis on theory: developing algorithms, improving existing ones, understanding their relation to learning.
... Link:ymalitsky.comSee More >>
PhD position in Optimization
University of Vienna PhD position in Computational Optimization and related areas. Emphasis on theory: developing algorithms, improving existing ones, understanding their relation to learning.
... Link:ymalitsky.comSee More >>
Sustainability Specialist, Devices Sustainability Science and Engineering team
Amazon Lab126 The Amazon Devices team designs high-profile consumer electronics, including the best-selling Amazon Echo, FireTV, Fire Tablets, Kindle, and Astro family of products. We are looki... ng for a motivated individual contributor with 2+ years industry, research and/or consulting in sustainability related field, great communication skills, and the passion to collaborate with a cross-functional team to drive products and services sustainability across Amazon devices.
Link:https://amazon.jobs/en/jobs/2828229/sustainability-specialist-devices-sustainability-science-and-engineering-teamSee More >>
Sr. Sustainability Scientist, AWS Sustainability
AWS The AWS Sustainability Science team is hiring a Sr. Sustainability Scientist. This role will support our Climate Pledge goal of net zero carbon by 2040 by developing scalable meth... ods and models to assess and improve the environmental impacts of AWS data centers and cloud computing services from manufacturing, transportation, use, and end-of-life. This work will drive a deeper understanding of AWS’s environmental impacts, and enable strategic management of our carbon emissions.
Link:https://www.amazon.jobs/en/jobs/2831182/sr-sustainability-scientist-aws-sustainability?no_int_redir=1See More >>
Applied Scientist, AWS Sustainability
AWS The AWS Sustainability Science team is hiring an Applied Scientist. This role will support developing scalable methods and models to assess and allocate the environmental impacts ... of AWS data centers and cloud computing services from manufacturing, transportation, use, and end-of-life. This work will drive a deeper understanding of AWS’s environmental impacts, and enable strategic communication of our carbon emissions.
Link:https://www.amazon.jobs/en/jobs/2834004/applied-scientist-aws-sustainabilitySee More >>
Amazon The Amazon Air Science and Technology team is hiring an applied scientist intern to join projects for application of generative models to meta reasoning, and automation of network... planning processes. If you are interested in summer internship for 2025, reach out to me to learn more. Locations: Bellevue, WA and Vancouver, BC.
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Distinguished Postdoctoral Fellow
Vector Institute Are you an early career researcher with the potential to become a world-class machine learning scientist? The Vector Institute invites applications for Postdoctoral Fellows who ar... e working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.
Our areas of research include: Computer Vision Generative Models Healthcare – computational biology, genomics Natural Language Processing Optimization Reinforcement Learning Statistical Learning Theory Sequential Decision Making Security, Privacy & Fairness Quantum Computing
The standard term for a Postdoctoral Fellow position is 1–2 years, with a possible extension to 3 years. Also available is the opportunity for eligible individuals to complete a placement at Vector before going on to take a faculty role elsewhere.
REQUIREMENTS
- PhD or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field. You must have completed all requirements of your doctoral degree no more than three years before the application deadline; - An excellent publication record in machine learning; - Expertise in a core area of machine learning, such as deep, unsupervised, and reinforcement learning, optimization, and theory; and/or applied machine learning, such as natural language, health, vision, robotics, medicine, biology, transportation, media, and finance.
DEADLINES To be considered for the Spring cohort application and reference letters must be received in full by February 28th. Any applications received after this date will be added to the next cohort.
If you wish to be considered for the Autumn cohort application and reference letters must be received in full by August 31st. Any applications received after this date will be added to the next cohort.
Texas Tech University Interested in doing AI on medical data? You will work with a growing team under the direction of Dr. Emily Pereira. We use physics-based AI models to develop tools to identify bio... markers for diagnosing and treating neurological disease.
Link:https://www.depts.ttu.edu/ece/research/research_topics/cpsrgSee More >>
Visiting Researcher
Vector Institute Join a dynamic community of over 860 researchers in machine learning and deep learning as a Visiting Researcher. The Vector Institute, located in the centre of downtown Toronto, o... ffers a state of the art computing environment, large AI engineering team to support researchers in scaling their research, an extensive roster of research programming and reading groups, and myriad opportunities to collaborate.
Visiting Researchers have the opportunity to: - Collaborate in a multidisciplinary and an innovative environment, and to increase their collegial networks; - Bring up to two students or postdoctoral fellows to Vector, under certain circumstances and parameters; - Access Vector’s research engineering team, postdoctoral fellows, interns, and other researchers for collaboration on their projects; - Have access to Vector’s legal counsel to assist in the immigration process, if needed; - Enjoy access to Vector facilities (e.g., desk space and scientific computing resources) so that they can conduct independent and/or collaborative research.
ELIGIBILITY CRITERIA Vector’s Visiting Researcher Program accepts applications from individuals from these three career pathways: - Individuals on a sabbatical leave from their home academic institution e.g., a research hospital or university or individuals proposed through existing structured research agreements with strategic national and international partners e.g., a national laboratory. - Individuals who have just completed a PhD or postdoctoral fellowship and intend to begin full-time employment at a university or in industry following their visit (sometimes referred to as a ‘gap year’).
Vector Institute Work alongside Vector Faculty Members & top AI researchers who are pushing the boundaries of machine learning and deep learning in critical areas such as: - Computer Vision... - Generative Models - Health – computational biology, genomics - Natural Language Processing - Optimization - Reinforcement Learning & Representation Learning - Statistical Learning Theory - Sequential Decision Making - Security, Privacy & Fairness - Quantum Computing - Robotics - Machine Learning, Deep Learning
Research internships are paid positions. They may be remote or in person, in Toronto, Ontario, Canada.
REQUIREMENTS Research internships may be offered to individuals who meet the following criteria: - You are in the second year or higher, studying at a university or college - You are studying in a STEM program (Science, Technology/Computer Science, Engineering, Math)or adjacent disciplines such as Business, Economics or Life Sciences at the undergraduate, master’s or PhD level - You have completed an Introduction to Machine Learning Course. - Haven’t taken Intro to ML? Think about the knowledge you possess and how you can apply that to work with a Vector Faculty member!
HOW TO APPLY - To apply to Vector’s Research Internship program please fill out our application form. Before you start your application, make sure you have all your documents ready and that you meet the eligibility requirements. If you will be submitting letters of recommendation, make sure to have your Referee’s names and emails ready. Application requirements: - CV; - University transcripts (official or unofficial if ongoing term not yet completed) or offer letter; Research Statement (optional for undergraduate students); and - Two letters of recommendation (Required for PhD and postdoc applicants, optional for undergraduate and Masters students).
Amazon AGI SF Lab The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words... , we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
Key job responsibilities -Collaborate across AGI Autonomy to align team goals with the broader Autonomy research program -Identify and prioritize research opportunities to unlock the next set of agent capabilities -Mentor and guide team members to achieve their career goals and objectives -Other management activities, e.g., communicating with stakeholders, structuring work, and growing the team
Link:https://www.amazon.jobs/en/jobs/2851361/member-of-technical-staff-agi-autonomySee More >>
Machine Learning Research Scientist (Inference Optimization)
Cerebras Cerebras has developed a revolutionary chip and system to dramatically accelerate deep learning applications. Our system enables training and inference workloads that are orders o... f magnitude faster than traditional machines, transforming how ML researchers pursue AI innovation.
We’re seeking a Machine Learning Research Scientist to join our Applied ML team, focusing on LLM inference, inference-time optimization, post-training techniques, and multimodal models. In this role, you will explore and implement efficient inference techniques for large-scale and multimodal AI systems. You’ll work with leading researchers, engineers, and Cerebras’ unique hardware to tackle challenges in model compression, sparse training, quantization, and optimization.
Responsibilities • Develop advanced techniques in LLM inference and post-training optimization, including sparsity and quantization. • Lead experiments to deliver cutting-edge generative and multimodal AI solutions. • Co-design architectures and training recipes optimized for Cerebras’ hardware. • Collaborate with teams and customers to train massive models on the Cerebras platform. • Stay ahead of advancements in multimodal models, instruction tuning, and alignment techniques. • Publish findings in top AI conferences and contribute to open-source projects.
Requirements • MS in Computer Science, Machine Learning, or related fields (Ph.D. preferred). • Experience in developing and deploying deep learning models for NLP, vision, or multimodal tasks. • Expertise in LLM inference, model compression, and optimization techniques. • Proven experience leading technical projects from concept to production. • Publications in top conferences like NeurIPS, ICML, or CVPR are a strong plus.
Join us to shape the future of AI with groundbreaking hardware and software solutions.
University of Alberta The Department of Computing Science, and the Alberta Machine Intelligence Institute (Amii), at the University of Alberta have an immediate opening for one postdoctoral fellow to w... ork with Amii Fellow Professor Osmar Zaiane in the area of Artificial Intelligence research.
The postdoctoral fellow will work on a research project related to Machine Malfunction Prediction and Machine Adaptation using Machine Learning. This project investigates effective means to automatically predict machine failures and strategies to adapt a malfunctioning machine to continue its mission before maintenance can be performed. The project also relates to machine adaptation to environment change a to human collaborator. The research applies Machine learning and Data Mining and focuses on Reinforcement Learning techniques to achieve these goals. For the postdoc position, we look for someone with sufficient knowledge and research experience in machine learning, reinforcement learning and GFlowNets.
Qualifications You must hold a PhD degree within computer science or a closely related discipline. Qualifications within at least one of the following scientific areas are required: * Reinforcement Learning * Machine learning (e.g., semi-supervised learning, transfer learning, deep models, GFlowNets) * Robotics The following technical qualifications are also emphasized: * Strong programming skills in at least one of Java, C/C++, and Python * Software development and system implementation (practical product experience is a plus) You are expected to be proactive, self-motivated, good at communication (both oral and written English), and cooperative in interdisciplinary collaboration.
To apply, please submit a cover letter, CV, 1-2 page research statement, and contact information for 2-5 references to amiiadm+ozpdf2025@ualberta.ca. Additional material may be submitted at the discretion of the candidate. Incomplete applications will not be considered.
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L5 Applied Scientist Intern
Amazon Work on LLM and ML project in FBA Science
Link:... None
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Amazon applied science intern
Amazon ML practitioner, LLm agents, forecasting, NLP
CTO/Cofounder
stealth Creative gen AI systems + agents startup from the same program as RunwayML
... >Link:
None
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Meta GenAI Inference SDE
Meta GenAI Inference team is hiring for experienced engineers/research scientists in llm/generative model inference space. Our work includes text and multi modal Llama model support, i... mage/audio/video model support, reasoning and Agentic. We are the only team powering llama for the whole company, with collaborations of PyTorch, modeling, and product
Link:
None
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Cognizant AI Labs As a research scientist, you will work with the Cognizant AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-wor... ld applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. With an explicit focus on AI for Good applications alongside basic research, the team envisions a world where AI systems are safe, robust, sustainable, long-lived, and inspiring. The team's current research is focused around areas including, but not limited to: - AI for decision-making - AI orchestration - Trustworthy AI - Open-ended AI - Sequential/time-series domains - Multi-agent systems - ALife - LLMs - Evolutionary computation
Key Responsibilities:
- Work with the Advanced AI Labs research team to develop original ideas that can contribute to the AI community - Design experiments and evaluation methodologies for testing these ideas - Implement novel algorithms and evaluation frameworks - Manage experiments, analyze results, and iterate rapidly - Communicate ideas and results to a larger audience - Publish papers based on this work - Advise AI engineers on the development of practical applications
Qualifications:
- Should have a PhD in Computer Science or another technical field. - Passion for AI research and AI for Good. - 3+ years of experience in AI or ML research. - Publications at venues such as ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc. - Strong implementation skills. - Experience with LLMs. - Strong problem-solving and analytic skills. - Strong attention to detail and ability to work independently. - Excellent verbal and written communication skills.
Link:https://careers.cognizant.com/global-en/jobs/00058670981/ai-research-scientist/See More >>
Foundational AI Research Scientist
Intel Labs I am hiring a Foundational AI Research Scientist in AI Lab at Intel Labs. If you have strong machine learning fundamentals particularly for problems that involve constrained multi... -objective optimization, let's talk! This position has a very strong research component - and a pre-requisite is a solid first-author publication record at top-tier machine learning conferences.
Dublin AI Starts with building mathematical models of commonplace human behavior and presents the models in computable form.
Evolves with the necessity to include different future ... domains like hypothesizing mathematical models of the neuromuscular system.
Consequential thinking and consequences modeling is a part of daily activities
Holder of Bold, creative, ambitious, can do attitude.
Takes an always ethical approach.
Link:
None
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Newly formed group at Zscaler
Zscaler I am looking for people to join a newly formed group at Zscaler on Cybersecurity. In case you do not know, we are the largest Cybersecurity Cloud in the world, processing > 0.... 5 trillion transactions per day.
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tenure-track machine learning research group leader
TU Wien Vienna (TU Wien) is looking for tenure-track machine learning research group leaders: "The call aims to attract excellent, early career researchers who develop cutting-edge AI/... ML concepts, approaches, and methods to advance a specific research field or discipline. Emphasis will be placed on the advancement of AI/ML concepts, approaches and methods and the transformative potential of the AI/ML-informed proposed research for the respective discipline." Applications are in two stages: - Application to TU Wien https://jobs.tuwien.ac.at/Job/244395 - Submission of proposal via the WWTF Funding Portal https://fundingportal.wwtf.at/calls/
Opsiclear This is a full-time Image Data Engineer position in Cleveland, OH (we prioritize local hires). You will explore and build processing pipelines for spatial AI. Consider this a rare... job opportunity to learn and explore 3DGS, NeRF and related Technologies.
The role is a hybrid of R&D and product development. You will develop and implement tools to deal with multiview, multiscale image assets generated from our specialized hardware. You will also work on scalable data infrastructures to process, transfer, store, and manage these data.
Amazon We are growing science team massively to improve multilingual LLMs capabilities in instruction following, tool usage, conversational excellence/personalization, safety/RAI.
... Link:
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AI Research Engineer
Votee AI We’re establishing a cutting-edge AI research lab in Toronto, focusing on LLM and their applications in low-resource languages, multimodal research, embodied models, and industry ... adoption. We’re seeking for exceptional AI Research Engineers with expertise in LLM to join our team.
Responsibilities: - Develop and evaluate LLM for low-resource languages - Design and implement multimodal and embodied models - Collaborate with industry partners to adopt LLM solutions in their products and services - Publish research papers on LLM-related topics in top-tier conferences and journals - Develop and maintain open-source libraries, tools, and datasets for LLM research
Requirements: - Master’s or Ph.D. degree in Computer Science, Linguistics, Cognitive Science, or related fields - Strong background in machine learning, deep learning, and NLP - Experience with LLM frameworks such as Hugging Face Transformers, PyTorch, TensorFlow, and/or other relevant libraries - Familiarity with multimodal models, embodied AI, and low-resource languages is a plus - Excellent research skills, including designing experiments, analyzing results, and publishing papers - Strong communication and collaboration skills to work with cross-functional teams - Fluency in written and spoken English; proficiency in other languages (e.g., Cantonese, Mandarin, Vietnamese...) is welcome
What We Offer: - Competitive salary and benefits package - Opportunities to work on cutting-edge AI research projects with industry partners - Collaborative and dynamic work environment in our Toronto office - Professional development opportunities, including conferences, workshops, and training programs - Flexible work arrangements, including remote work options
How to Apply: Please submit your application to tech@votee.ai with the following: - CV - Link to your GitHub/StackOverflow account - Link to your research publications or projects
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Intermediate Software Developer, AI | Développeur Logiciel Intermédiaire, IA
Hootsuite We're looking for an Intermediate Software Developer, AI who can explore, design, build, test, deploy, monitor and maintain artificial intelligence (AI) systems that are... highly integrated with our product and deliver value to our customers. This position will work on a small and agile team that continuously incorporates feedback to refine and improve the products and features you deliver. Your team will own the entire AI Product Lifecycle from early ideation research to beta releases to production ready, scalable product suitable for new and existing customers. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for remote work or a hybrid model. This role is open to applicants located in Montreal. In this role, you will report to the Manager, Software Development.
Link:https://careers.hootsuite.com/job/?gh_jid=6106938See More >>
Senior Software Developer, AI | Développeur Logiciel Sénior, IA
Hootsuite We’re looking for a Senior Software Developer, specialized in AI, who can explore, design, build, test, deploy, monitor, ship and maintain artificial intelligence (AI) system... s that are highly integrated with our product and deliver value to our customers. This position will work on a small and agile team that continuously incorporates feedback to refine and improve the products and features you deliver. Your team will own the entire AI Product Lifecycle from early ideation research to beta releases to production ready, scalable product suitable for new and existing customers. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for remote work or a hybrid model. This role is open to applicants located in Montreal. In this role, you will report to the Manager, Software Development.
Link:https://careers.hootsuite.com/job/?gh_jid=6440108See More >>
PhD position (apply by 12/15)
Northeastern University The PEACH Lab (Privacy-Enabling AI and Computer-Human Interaction) at Northeastern University has two PhD openings starting in Fall 2025. If interested, please submit your applica... tion to the CS PhD program in Khoury College of Computer Sciences and mention Prof. Tianshi Li in your application. The application deadline is this Sunday (12/15)
Link:tianshili.meSee More >>
phd positions in machine learning and automated reasoning
TU Wien (Vienna University of Technology) TU Wien (Vienna, Austria) is looking for PhD candidates in a new doctoral college. The positions will open early next year. If you have any questions, please let me know!
... Link:https://ml-tuw.github.io/See More >>
Fully funded PhD @ University of Luxembourg
University Of Luxembourg Fully funded PhD (up to four years).
The subject of the thesis will be “Real-World Machine Learning Security” and involves the study of technical methods and approaches for... testing the reliability (in particular, the security) of machine learning systems (including generative AI and large language models) against various threats that may occur in the real-world.
CNRS As part of the French Strategy in Artificial Intelligence (AI), the Choose France - CNRS AI Rising Talents program offers exceptionally talented early-career AI researchers with t... he opportunity to establish and lead a research program and team for a duration of 4 years, enhancing their potential to become leading scientists. This program is open to current postdocs as well as junior professors or researchers, with the primary criterion having an outstanding research track record. Applications are welcome from those who earned their PhD either in France or abroad, as soon as they demonstrate substantial international research experience, including mentoring students and managing scientific projects.
Apple Generative modelling for computer vision tasks. My team is looking for a fantastic ML researcher in GenAI space. Some of the recent work from team - personalised image generat... ion shipped to customers like genmoji in Apple Intelligence
Link:
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GPU Mining Infrastructure Lead
GPU Mining Operations We are seeking a highly skilled and entrepreneurial Infrastructure Lead to lead the technical strategy and execution of our mining operations for emerging decentralized AI trainin... g and inference protocols. These protocols leverage global GPU resources through proof-of-work-like systems to coordinate AI workloads.
As the Infrastructure Lead, you will: • Architect and deploy GPU mining infrastructure optimized for decentralized AI protocols. • Develop and maintain efficient workflows for GPU resource allocation, monitoring, and optimization. • Stay ahead of protocol developments, ensuring the infrastructure meets technical and operational requirements. • Work on integrating ML Ops principles to streamline mining operations. • Leverage experience with blockchain validator nodes and decentralized systems to enhance mining performance and reliability. • Collaborate on the strategic direction of the company as a key decision-maker.
Key Qualifications: • Strong background in ML Ops, GPU infrastructure, or distributed computing. • Deep understanding of GPU hardware, performance optimization, and server management. • Familiarity with decentralized AI, blockchain protocols, or similar cutting-edge technologies. • Passion for the intersection of AI and decentralized systems. • Entrepreneurial mindset and the ability to thrive in a fast-paced startup environment.
This is a unique opportunity to shape a pioneering company at the forefront of decentralized AI and blockchain technology. Equity participation and long-term incentives will reflect the strategic importance of this role.
Link:
None
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Senior Applied Scientist
Amazon AGI The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) model... s. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists.
Key job responsibilities Join us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas:
- Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Reasoning, self-reflection, interactive learning, data synthesis - Distributed training methods and solutions
Graphcore As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware... has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to the advancement of this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.
Link:https://boards.greenhouse.io/graphcore/jobs/7658134002See More >>
ML Engineer
Graphcore As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialis... ed hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation, eager to make a tangible impact in this rapidly evolving field.
Link:https://boards.greenhouse.io/graphcore/jobs/7733527002See More >>
Tenured/tenure-track faculty positions in applying AI/ML for particle accelerators
Old Dominion University Application of data science, engineering and physics to particle accelerators. Cluster hiring with 3 positions
... r>
Link:https://jobs.odu.edu/postings/21861See More >>
Perplexity.AI We want Perplexity to be as engaging as your favorite social app. Related questions are one example of how we make this possible, come join us to add other ways to let people expl... ore knowledge
Link:https://job-boards.greenhouse.io/perplexityai/jobs/4537456007See More >>
Old Dominion University Openings for PhD students and postdocs at School of Data Science at Old Dominion University. Working on AI 4 Science projects with Jefferson lab and NASA Langley Center. DM me if ... interested.
Link:
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Ai product engineer
V7 Build agents that automate the entire back office of healthcare, insurance, and financial services unlocking trillions in productivity from repetitive tasks that should be done by... machines.
80 ppl, 65% technical staff & product. 8th fastest growing company UK. 2nd fastest growing deep tech startup in Europe.
$50m raised You: - Builder over researcher - Experience building with agential behaviors beyond q&a - In a startup now or graduating 2025
Gensyn Intern with Gensyn (https://gensyn.ai) for 3-12 months (dependent on current program / obligations).
Research topics of interest: Distributed & decentralised trainin... g Architecture search Efficient sharding/scheduling of distributed models Fault tolerant training Cryptography + ML (verification) Reproducibility / determinism Modular foundation models Continual learning ML agents Compiler design Game theory
Link:
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Research, Applied Research, Engineering at Gensyn
Gensyn We're hiring across all technical positions - check out our careers page and apply there:
U of Houston Industrial Engineering (IE) at the University of Houston (UH) and Computer Science at Rice University invites qualified candidates to apply for a postdoctoral research position. T... he research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms. The postdoc position will be co-supervised by Dr. Na Zou (https://nzou1.github.io/) and Dr. Xia “Ben” Hu (https://cs.rice.edu/~xh37/index.html) and is set to begin as early as possible. It is a one-year appointment, which can be renewed contingent upon satisfactory progress. The salary will be commensurate with the applicant’s qualifications. To apply, email CV and contact information of three references, unofficial transcripts to Dr. Zou at nzou2@uh.edu, or Dr. Hu at xia.hu@rice.edu.
Link:
None
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PhD/Postdoc Opportunities in Multimodal AI Research
University at Buffalo PhD/Postdoc Opportunities in Multimodal AI Research at the National AI Institute for Exceptional Education, University at Buffalo, State University of New York
The National... AI Institute for Exceptional Education at the University at Buffalo is seeking highly motivated PhD students to join our research group. Our work focuses on cutting-edge multimodal AI research, including: • Supervising embodied agents • Conditonal image generation • Multimodal contrastive learning • Document understanding
We invite students passionate about pushing the boundaries of AI to collaborate with us on impactful projects. Currently, our team is presenting at NeurIPS—feel free to reach out for a meeting or further discussion!
Research Engineer – Cyber Misuse Team – AI Safety Institute
UK AI Safety Institute The role: Design experiments and build evaluations to assess the cyber offensive capabilities of advanced AI systems. Candidates should have relevant experience in machine lear... ning and cybersecurity.
About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Research Scientist/Research Engineer/Security Researcher – Red-teaming, Safeguards, AI Security –
UK AI Safety Institute The role: Lead research to understand advanced AI systems' vulnerability to misuse. Candidates should bring experience in ML research, ML engineering, or in security. About... AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
US FDA/CDRH/OSEL/DIDSR We are seeking postdocs helping our project on assessment of polyp detection in endoscopic videos. Master or PhD degree required and 3 minimum residence in the US in the past five... years required.
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Research Scientist/Engineer - Autonomy Team – UK AI Safety Institute
UK AI Safety Institute The role: Lead research to empirically evaluate risks such as uncontrolled self-improvement, autonomous replication, manipulation and deception. About AISI: The AI Safet... y Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Interpretability Researcher – Autonomy Team – UK AI Safety Institute
UK AI Safety Institute The role: Lead early work to push forward the science on white-box AI evaluations and detecting advanced AI scheming.
About AISI: The AI Safety Institute is the first... state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Learn more: aisi.gov.uk/careers. You do not need to be a UK citizen to apply. Salaries are £65-135k.
PhD/Postdoc/Research Scientist Positions at the University of Maryland College Park
University of Maryland College Park PhD/Postdoc/Research Scientist Positions are available in CS@UMD to work with Dr. Heng Huang. https://www.cs.umd.edu/~heng/... Link:
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Research Scientist – Safety Cases – UK AI Safety Institute
UK AI Safety Institute The role: Lead research on safety cases: breaking down what would need to be true for a given AI system to be sufficiently secure and safe. You'll work closely with Geoffrey Ir... ving (former DeepMind team lead) and Tomek Korbak (former Anthropic). Learn more here: https://www.aisi.gov.uk/work/safety-cases-at-aisi
About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Learn more: aisi.gov.uk/careers. You do not need to be a UK citizen to apply. London salaries are £65-135k. SF salaries are TBD.
TPM & Strategy Lead – Evaluations – UK AI Safety Institute
UK AI Safety Institute The role: Work across our AI evaluations teams to ramp up the quality, speed, and impact of our testing work. You’ll not only drive delivery, but also our strategy.
Abo... ut AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Cradle At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale.
For this challeng... e we are looking for software engineers who are excited to peek out of the virtual world and join us on integrating promising ML models in a protein design platform. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity. We look for candidates who are not shy to take research papers or ML prototypes and turn them into scalable product features. Besides dealing with the ML models itself, a big part of your job will be to build the necessary infrastructure around the machine learning models to make them accessible and useful to biologists.
Link:https://jobs.ashbyhq.com/cradlebio/76e0d7e4-af4e-4804-9dc7-24074542b8e7See More >>
Crime and Social Destabilisation Team Lead – Societal Impacts Team – UK AI Safety Institute
UK AI Safety Institute The role: Found our team to assess and mitigate pressing societal-level risks like radicalization, misinformation, fraud, and social engineering. We’re looking for leaders who ... can build this team from scratch, shape its research vision, and drive hands-on execution. About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Psychological & Social Risks Team Lead – UK AI Safety Institute
UK AI Safety Institute The role: Found our multidisciplinary team to assess how advanced AI systems impact people psychologically and behaviorally. We’re looking for leaders who can build this team f... rom scratch, shape its research vision, and drive hands-on execution. Your team will both need to deeply understand frontier ML and how to efficiently and effectively run human studies. About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Navier AI Navier AI is hiring an ML engineer to join our team in SF. We are building engineering simulation models to accelerate the development of the next generation of jets, cars, and hi... gh performance vehicles.
We are looking for ML researchers with a strong background in writing software for a production environment.
Email a resume and a personal intro to apply.
Link:
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Head of Information Security
UK AI Safety Institute The role: You’ll lead on bringing cyber resilience to what could become one of the world’s most important AI Institutions. You'll need to to combine meaningful security with cr... eative solutions rather than being limited to the compliance playbook.
About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Research Scientist - Capabilities Prediction & Science of Evaluations
UK AI Safety Institute The role: Figure out the critical science of effectively understanding and forecasting advanced AI capabilities, which could have a massive impact on developers and governments... decision making.
About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Software/ML Intern on wearable silent speech interfaces
Skywalk Inc. Skywalk is a seed-stage stealth tech startup based in Palo Alto. We are pushing the boundaries of Artificial Intelligence and wearable technology, and integrating them into a ... new generation of computing platforms. We focus on creating wearable, audio-first devices that offer private, high-performance voice interaction anywhere, anytime.
We seek passionate and talented graduate and undergraduate-level interns from Computer Science and Electrical Engineering backgrounds to join our dynamic team in Palo Alto. You can work on cutting-edge research and engineering problems, contributing to developing our next-generation computing platform.
Our innovative approach is centered around a new computer interface based on earbuds. We are currently offering multiple roles in three main directions, each presenting open-ended research questions that we invite you to explore:
1. Speech Enhancements: How do we enhance and separate users’ and other people’s speech using the unique microphone layouts on board earbuds? 2. Low-Latency Context-Aware Speech Interaction: How can we use Multimodal Large Language Models (MLLMs) to enable fluid human-AI conversations such as “note down what she said.” where understanding the user’s command is as essential as understanding the context of that command? 3. Next-Generation AI Interactions: How can we integrate AI interactions into daily life and work?
At Skywalk, we also offer a unique opportunity to work on an audio AI hardware platform that is ready to go. You will be part of an exciting team working to solve real-world problems.
Preferred Qualifications:
Familiarity with AI and ML Strong programming skills Interest in audio technology and wearable devices Excellent problem-solving abilities Strong communication and teamwork skills
Link:https://forms.gle/GAQ1KpNzM8rSBdir9See More >>
Build LLMs in Switzerland
Swiss AI / ETH / EPFL The Swiss AI Initiative https://swiss-ai.org builds trustworthy, multilingual open source AI models.
The role: Join the core team of LLM pretraining. Focusing on scali... ng, efficient architecture innovations, newest data selection and training recipes, cutting-edge multilingual LLMs (>500 languages), bridge to multimodality and post-training. Engineer, PhD, postdoc and intern roles available on all levels.
About us: - We are a research initiative lead by ETH & EPFL and other Swiss Universities - We run on the world's largest public-institution GPU cluster (CSCS) - We collaborate with other leading teams around the world (recent examples: Fineweb-2 dataset with Hugging Face, INCLUDE benchmark with Cohere, in addition to around 200 NeurIPS papers with ETH & EPFL authors) - We believe in open science and offer a very attractive and collaborative research environment
LLM training for multilingual & health applications
EPFL / Swiss AI The Swiss AI Initiative https://swiss-ai.org builds trustworthy, multilingual open source AI models.
The role: Join us to improve and evaluate capabilities of cutting-... edge LLMs, for interdisciplinary applications such as in health applications, sciences and uses in international organizations. Engineer, PhD, postdoc and intern roles available on all levels.
About us: - We are a research initiative lead by ETH & EPFL and other Swiss Universities - We run on the world's largest public-institution GPU cluster (CSCS) - We collaborate with other leading teams around the world (recent examples: Meditron medical LLM, Fineweb-2 dataset with Hugging Face, INCLUDE benchmark with Cohere, in addition to around 200 NeurIPS papers with ETH & EPFL authors) - We believe in open science and offer a very attractive and collaborative research environment
Associate/Assistant Professor Position
in AI for Networks at Télécom Paris / IP Paris
Telecom Paris / IP Paris The market for next-generation networks (5G, 6G, and beyond) is expected to exceed 90 billion dollars within the next decade, with the embedded AI sector identified as the dominan... t trend of this revolution.
In this future landscape, MLOps engineers with dual expertise in AI and networking will be essential. AI is becoming pervasive and distributed at all levels of the network hierarchy. In this context, AI applied to networks (AI4NET ) and deployed within them (NET4AI ) is emerging as a distinct field, separate from classical AI. This field focuses not only on optimizing and managing communication infrastructures but also on addressing new challenges, such as operating on a different and near real-time temporal scale and dealing with the scarcity of computational resources (network devices are not computing servers).
Desired Expertise The candidate must have a PhD in computer science or mathematics. She or he must have general skills in artificial intelligence.
The list of desired expertise includes: • AI for Networks: Strong background in using AI techniques (e.g., machine learning, deep learning, reinforcement learning) for network design and configuration as well as for optimization and management, tasks including routing, resource allocation, traffic prediction, and anomaly detection. • Networks for AI : Expertise in designing and deploying AI models within constrained network environments, including edge computing, fog computing, and IoT devices. • Networking Technologies: Strong understanding of next-generation networks (5G, 6G, and beyond), including both physical and virtualized systems (within cloud environments). Familiarity with architectural concepts such as TCP/IP networks and related communication protocols is essential.
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Research Director – Safeguards, Red-teaming, AI Security – UK AI Safety Institute
UK AI Safety Institute The role: We already have one of the world’s best teams at assessing the effectiveness of safeguards – we’ve uncovered new ways to jailbreak models and are doing valued pre-dep... loyment testing for top companies like Anthropic. Our next ambition is to scale our research team so we can comprehensively answer the questions of how secure and safeguarded are frontier models from misuse. We’re looking for someone to direct this research area and build out its teams, who’ll bring both technical vision and hands-on leadership. This team will need to develop expertise in advanced ML safeguarding techniques, red-teaming, and model weight security.
About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important. At AISI, your research directly impacts the decision making of major companies and governments.
Postdoc positions on Foundation Models for Biometrics
Idiap Research Institute The Biometrics Security & Privacy team at the Idiap Research Institute seeks qualified candidates for 2 postdoctoral positions on the topics of Foundation Models in cyber-phys... ical security and more particularly face presentation attack detection (PAD aka anti-spoofing), person recognition from a distance (gait) and XAI for biometrics.
The positions will be aligned with 3 new European funded projects and should be filled as soon as possible.
Do you want to join our team of researchers, engineers, and PhD students from EPFL and UNIL?
EU AI Office Job description: The European AI Office is looking for talent with technical expertise, including research scientists, computer scientists, software and data engineers, hardwar... e specialists. Proven experience in AI is required, particularly in areas such as machine learning, deep learning, ethics, safety and (cyber)security. Experience in advanced AI topics, such as model testing and evaluation, model alignment, biases, misinformation and red teaming would be a strong asset.
As part of the European Commission's DG CONNECT, the European AI Office is at the forefront of global AI policy and innovation. It plays a key role in implementing the AI Act—the world’s first comprehensive legal framework on AI—fostering trustworthy AI, general-purpose AI oversight, and international cooperation.
Responsibilities: Enforce and supervise new rules for general-purpose AI models. Develop state-of-the-art codes of practice and methodologies to support AI governance. Conduct technical assessments and evaluations of AI models, classify systemic risks, and investigate emerging issues. Monitor technological and market developments and engage with stakeholders to gather evidence supporting the AI Act’s application.
Requirements: Applicants must be citizens of an EU Member State. The position is a Contract Agent role in Function Group IV. The initial contract duration is one year, with the possibility of extensions up to six years.
Link:https://ec.europa.eu/eusurvey/runner/AIOffice-Interest-GeneralSee More >>
Technical Lead for Biological and Chemical Models – UK AI Safety Institute
UK AI Safety Institute The role: Lead our efforts to evaluate the capabilities and misuse risks of specialized biological and chemical AI tools. We’re building the world’s best team for assessing the... se risks with unique access to top labs and national security expertise. Your team’s work will directly impact government and companies’ decision-making. About AISI: The AI Safety Institute is the first state-backed research organisation dedicated to advanced AI. Our mission is equipping governments with an empirical understanding of advanced AI’s risks and figuring out how we and developers should respond.
Our team has over 50 ML researchers and engineers, many of whom have joined from top industry and academic labs.You’ll enjoy working with us if you like rolling up your sleeves to work on challenging problems because they’re important.
DocuSign Agreement understanding Clause / relation extraction Large scale unstructured data processing LLM fine tuning
PhD & MSc positions at Dalhousie, affiliated with Vector Institute
Dalhousie University I have positions open in my lab to work on projects including music generation & understanding, human movement representation & generation, as well as fundamental DL. We'r... e at Dalhousie (Halifax) & we are affiliated with the Vector Institute (Toronto). Please send me a message here (or to my email) if you might be interested and we could meet up & chat!
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Senior Computational Biologist
DeepLife We are seeking an Senior Computational Biologist with deep expertise in foundation models and omics data analysis. This role is pivotal in leading our initiatives in omics data co... llection, participating in the strategic development and construction of multi-omics, multi-scale foundation models, and driving data strategies that align with our drug discovery goals. The successful candidate will have demonstrated experience in building large-scale deep learning models specifically tailored for omics data.
Link:https://deeplifeai.welcomekit.co/jobs/senior-computational-biologist_paris_DEEPL_JMkWbL4See More >>
Applied LLM engineer
Nova AI We’re building a coding agent for a large specialized software market ($100b/year spend). There are specific properties about this software that makes it a great fit for coding ag... ents - we believe this is one of the first areas that’ll see AI end-to-end automate real world, high value engineering challenges. We’re funded by Accel & other top investors and are hiring founding engineers. Our founders are successful repeat entrepreneurs and researchers from DeepMind, Facebook AI Research. Come work with us if you enjoy solving novel, challenging technical problems!
Link:
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Backend engineer
Nova AI We’re building a coding agent for a large specialized software market ($100b/year spend). There are specific properties about this software that makes it a great fit for coding ag... ents - we believe this is one of the first areas that’ll see AI end-to-end automate real world, high value engineering problems. We’re funded by Accel & other top investors and are hiring founding engineers. Our founders are successful repeat entrepreneurs and researchers from DeepMind, Facebook AI Research. Come work with us if you enjoy solving novel, challenging technical problems!
Link:
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AI for Drug Design - Staff Research Engineer
Xaira Therapeutics We are seeking an experienced AI Research Engineer to join our team and lead some of our efforts in building the AI powered future of drug discovery. As a senior member of our int... erdisciplinary group, you will collaborate closely with AI scientists, other engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally.
Link:https://xaira.com/See More >>
AI for Drug Design - AI Scientist
Xaira Come join us and help build on Nobel prize winning work to design the medicines of the future! We are building SOTA generative AI models to transform drug design and development.... Link:https://xaira.com/See More >>
Postdoctoral Researcher for Foundation Models in Brain Imaging
Luxembourg Institute of Health (LIH) We are looking for postdoctoral researchers for a 3 years project about Foundation models for Brain Imaging. The project focuses on brain magnetic resonance volumetric Imaging for... Brain Cancer and Parkinson Disease. The project will explore the implementation of RAG for Mixture of Experts tackling both MRI synthesis (cross modality) and segmentation (tumors, Imaging biomarkers like alpha-beta plaques, necrosis).
The position includes competitive salaries, tight collaboration with M.D, and involvement with the FeTS Brain Imaging consortium.
About us:
First biomedical research institute in Luxembourg, ranked amongst the leading non-academic institutions in the world by the Times Higher Education since 2018, the Luxembourg institute of Health aims at performing transversal translational research that transcends the boundaries of classical disease definition by putting a particular focus on inflammation related disease development.
Over the last years, LIH has been repositioning from fundamental research to encompass a more patient-centered translational dimension.
University of Waterloo I’d be happy to meet, message me directly or connect via email. A short description is as follows, and more details at the link!
The Critical Machine Learning Lab at the Un... iversity of Waterloo is actively seeking a Postdoctoral Fellow who will conduct CV research in continual learning, domain generalization, data efficiency, knowledge distillation, and similar topics. This is a unique opportunity to work in collaboration with a large technology company to develop cutting-edge ML and CV solutions for real-world defect detection in manufacturing in a fast-paced environment. If you are someone who loves to push the boundaries of real-world ML, this is an exciting opportunity for you to make impactful contributions to this rapidly evolving area.
As a Postdoctoral Researcher on the project, you will conduct groundbreaking research to develop algorithms and techniques which will lead to high-quality research publications. You will collaborate with graduate and undergrad students, and industry collaborators, to design, implement, analyze, and develop robust ML models for real-world ML pipelines. With your expertise, you will assist in effective management of various research threads on the project, like leading meetings and tracking progress towards goals.
Link:https://sirisharambhatla.com/See More >>
Postdoc - surgical video understanding
Duke, Dept. of Surgery The Surgical Artificial Intelligence and Innovation Laboratory, in the Dept. of Surgery at Duke University, in collaboration with Dept. of ECE, is seeking a motivated and talented... Postdoc Researcher with expertise in computer vision and machine learning. Our project aims to revolutionize surgical video understanding via novel large-scale machine learning methodologies, and will involve both strongly novel computational aspects, as well as clinical ones. The computational elements include investigating foundation model and/or structured ML approaches for modeling and computer vision aspects, aimed to revolutionize how we understand surgeries, and ultimately, improve patient care.
The postdoctoral role will focus on developing innovative approaches for surgical video analysis, harnessing few-shot learning, structured ML approaches, and advanced computer vision techniques to transform surgical process understanding and ultimately enhance patient care. Candidates will have the opportunity to work with novel datasets that combine streaming surgical data with datasets of clinical outcomes. They should have publications in relevant venues, and be eager to explore how we can understand and improve the surgical process.
Candidates should contact Guy Rosman (Duke, Dept. Of Surgery, ), the project is in collaboration with Larry Carin (Duke/ECE) and Ozanan Meireles (Duke, Dept. Of Surgery). Please attach a CV, as well as a brief statement of interest. Applications are on a rolling basis.
Qualifications: - EE/CS PhD that leverages e.g. probabilistic reasoning and machine learning techniques in computer vision. Willingness to delve into medical data (no surgical knowledge needed) - Publications record in either probabilistic inference, computer vision, and relevant ML fields such as knowledge representations and foundation models - Experience in computer vision/robotic perception, and deep learning frameworks. See More >>
DeMythif.AI : 21 PhD positions at U Paris Saclay
Université Paris-Saclay Call for PhD candidates, 48 topics on the broad theme of AI and uncertainties, AI 4 science. 21 will be funded by EU COFUND DeMythif.AI Open to CS or science masters. D... irected to international students, having spent less than 12 months in France in the last three years. Deadline 17th Jan 2025 .Présélection then interview, decision by May 2025. PhD to start fall 2025.
Argonne National Laboratory We are hiring! Argonne National Laboratory is seeking a post-doc with experience in machine learning, natural language processing, or information retrieval. This role focuses on L... LMs for scientific applications in the climate domain. You can read a snapshot of our past work here: https://arxiv.org/abs/2402.07877. Please email your CV to me if you are interested!
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PhD position in optimization and deep learning theory
University of Basel Our group has several PhD students openings in the areas of optimization and deep learning theory. Potential research topics include the development of adaptive optimization metho... ds, the exploration of the loss landscape in deep neural networks, and the design of novel neural network architectures that enhance efficiency in both training and inference.
PhD applicants must possess a Master’s degree in mathematics, theoretical physics, or computer science with a strong theoretical focus.
If interested, please send an application as described below to aurelien.lucchi (at) unibas.ch.
Your application should be a **single pdf file** containing the following files:
Short motivation statement (maximum 150 words) explaining your interest in the position and justifying why your background is a good fit for the position Curriculum vitae (including a list of publications if applicable) Scanned transcripts of bachelor's and master’s degree Contact info (no direct recommendation letters) for peers who can recommend you Your latest thesis (and/or one of your publications if applicable)
Link:https://omls.dmi.unibas.ch/en/See More >>
Postdoc on multiscale ML @ NUS
National University of Singapore We are looking for a postdoctoral research fellow to join the group of Prof. Li Qianxiao to work on machine learning multiscale processes.
The candidate will work on impro... ving state-of-the-art machine learning methods that advance the following research question: Given low-level theory and computationally expensive simulation code, how can we model complex systems on a useful time scale? It will involve development of fundamental algorithms and their application to important real – world problems.
Requirements: 1. PhD in Computer Science, Math, Physics, or related discipline 2. A solid track record in machine learning, either in academia or industry 3.Some physics background is a plus, but not required
Intel Labs The mission of Intel Labs is to drive technology leadership for Intel. This includes conceiving, researching, prototyping, and coordinating with academic/external partners and Int... el business groups to deliver technology innovation for future industry needs. This is full time position with the Emerging Visual-AI Systems Research team at Intel Labs.
Our team is driving exciting research to identify innovative technologies and capabilities for future of AI systems, particularly in generative AI and multimodality. We focus on innovating on hardware and software technologies that will transform the AI computing experience across edge/cloud systems.
In this role, your responsibilities will include: Investigating, implementing and driving new AI optimization and acceleration techniques within the Intel HW and SW products. This requires a deep understanding of state-of-the-art techniques in AI model optimization (such as quantization, sparsity, etc.), run-time systems, optimized kernels for performance evaluation on HW products, and solid grasp of distributed computing, and computer architecture. Solid research discipline, hands on prototyping skills, closely work with partners to drive research agenda. The candidate is expected to maintain substantial knowledge of state-of-the-art principles and theories and contribute regularly to scientific literature and the research community-at-large and may participate in the development of Intellectual Property.
PhD in Operations Research and Data Science at EPFL
EPFL The Risk Analytics and Optimization (RAO) laboratory at the Ecole polytechnique fédérale de Lausanne (EPFL) led by Prof. Daniel Kuhn invites applications for a PhD position in the... area of operations research and data science. This role entails developing foundational theories, innovative models, and efficient, easily implementable algorithms with guaranteed performance for data-driven optimization with applications in operations research and data science. As part of a collaborative project with a prominent retail company, you will have access to extensive real-world data. The primary focus of this position is to produce high-impact, cutting-edge research. The student will work with Prof Daniel Kuhn and Dr Yifan Hu.
Link:https://careers.epfl.ch/job/Lausanne-PhD-in-Operations-Research-and-Data-Science/940143574/See More >>
Postdoc and PhD in Oslo, Norway 🔥
University of Oslo We regularly publish in top ML venues
Decent salary (55k – 65k USD/year)
No language barrier in Oslo
Exceptionally generous welfare/childcare/immigration poli... cies in Norway while offering great quality of life and nature!
Link:
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Sr ML Engineer, Foundation Model Training
Apple We are a group of system engineers to support training foundation models at Apple. We train foundation models with general capabilities such as understanding and generation of tex... t, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about pushing the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Minimal Qualifications: * Strong coding skills in Python or C++ * Extensive experience in: applied machine learning, modeling and productization * Strong background in: computer science, algorithms and data structures * Experience with machine learning systems like, Tensorflow, Pytorch or Jax * Excellent interpersonal skills, able to work independently as well as in a team * Bachelors in Computer Science or equivalent industry work experience
EarnIn Join us in shaping the future of our ML platform and empowering financial flexibility for millions at EarnIn.
The MLE role involves designing and building a robust mach... ine learning platform to support the complete ML lifecycle. Key responsibilities include optimizing workflows for model training and deployment, ensuring scalability, reliability, and efficiency. This position also drives the evaluation and integration of new ML technologies, supports best practices, mentors junior engineers, and upholds high standards of operational excellence.
Bring your passion and expertise to our team and help drive our mission to provide financial control to those who need it most. Feel free to reach out if you have questions about responsibilities!
EarnIn Machine learning is integral to every financial service we provide. As we embark on a transformative phase, Earnin is making significant investments to innovate and set new standa... rds in ML applications within fintech. We are seeking skilled engineers to create groundbreaking solutions with large language models, generative Al, and advanced machine learning algorithms, generating substantial business and social impact. Machine learning is the enabler for every financial service Earnin provides its community members. We are going through transformative investments in machine learning. We aim to lead the innovation and operational excellence in machine learning for the fintech industry. We seek experienced engineers to create first-of-a-kind success stories through large language models, generative Al, and state-of-the-art machine learning algorithms and realize outsize business and social impact. The Palo Alto base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2-3 days a week.
Link:https://www.linkedin.com/jobs/view/4076020486See More >>
ML Intern/Engineer @ Tower Research Capital
Tower Research Capital Developing data pipelines for collecting, processing, and analyzing diverse datasets. Design and implement deep learning architectures for large volumes of data. Conduct exp... eriments and tests to evaluate model performance. Contribute to optimizing and fine-tuning existing machine learning models. Build pipelines for monitoring, managing and constantly improving production ML/DL models.
PhD & Postdoc openings in LLM @ University of Minnesota
University of Minnesota We are looking for multiple postdoctoral research fellows and PhD students to join the group of Prof. Mingyi Hong to work on the general area of optimization issues for LLM system... s. Research topics includes alignment, reinforcement learning, algorithm design for efficient and/or private pretraining/finetuning, as well as AI for Science. Please see the group page of Prof. Hong for related topics that the group is conducting. https://people.ece.umn.edu/~mhong/mingyi.html
DeepLife We are seeking a Drug Discovery Scientist with strong expertise in deep learning, systems biology, and computational biology, particularly in single-cell analysis. This role will ... focus on developing innovative methods for target identification, drug repurposing, and patient stratification to advance our drug discovery programs. The ideal candidate will have experience discussing with pharmaceutical companies and a solid understanding of the drug discovery pipeline.
Link:https://deeplifeai.welcomekit.co/jobs/drug-discovery-scientist_parisSee More >>
Funded PhD positions in AI
Computer Science @ Texas Tech U Student positions for research on Advanced Methods for Learning and Control of Agents in Complex Environments with applications in robot learning, human-robot interaction, i... ntrinsic motivation, and intelligent structures are available. We seek very strong students interested in researching the bi-directional human-machine loop, language of object manipulation, morphological intelligence, and multimodal interaction. Preferred Applicant Qualifications: 1. Bachelor’s degree in one of the following disciplines: Computer Science, Computer/Electrical Engineering, Math, Physics, Statistics, Cognitive Science, or other quantitatively oriented disciplines. A master’s degree and/or double major degrees are a significant advantage. 2. Very strong analytical and/or programming skills. For best consideration, we recommend that interested candidates contact Dr. Stas Tiomkin (Stas.Tiomkin@ttu.edu) at Texas Tech University (TTU) with the following in a single PDF file: a) updated CV; b) copies of unofficial transcripts; c) statement of research interests (~250-300 words) with the subject line “PhD Position in CS”. TTU is a leading institution, classified as “R1: Doctoral Universities – Very high research activity”, (https://www.texastech.edu). TTU is based in Lubbock, which is the economic, educational, and health-care hub in West Texas with vibrant culture, affordable cost of living, and pleasant climate. The admitted students will be provided with funding for tuition + stipend and bene
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MS/PhD opportunities for avid ARC lovers (Korea)
GIST I am hiring graduate students and welcoming visitors who are interested in ARC-AGI (abstraction and reasoning corpus), abductive reasoning, or programming by example. We've been w... orking on that problem since 2022.
My group is supported by grants on ARC research itself and creative math, AI alignment problem. Both MS and PhD are research-oriented and fully funded. We are at GIST AI, Gwangju, Korea.
Official application period graduate students starting at Fall 2025 will be around March.
We also have visitor program called GIP (Global Intern Program), which enables your 8 week-visits during summer (Late June to Mid August).
Link:http://sundong.kim/joinSee More >>
Fully-funded AI PhD studentships in the UK
Lancaster University MARS: Mathematics for AI in Real-world Systems, based in the School of Mathematical Sciences at Lancaster University, is offering fully-funded four-year PhD studentships starting ... in October 2025.
Link:https://www.lancaster.ac.uk/maths/research/mars/phds/See More >>
PhD opportunities in UKRI Centre for Doctoral Training in AI for Digital Media Inclusion
University of Surrey & Royal Holloway University of London The UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion combines the world-leading expertise of the Surrey Institute for People-Centred AI (PAI) at the Universi... ty of Surrey, a pioneer in AI technologies for the creative industries (vision, audio, language, machine learning) and StoryFutures at Royal Holloway University of London, leader in creative production and audience experience (arts, psychology, user research, creative production).
PostDocs ML for (Neuro)science, Tübingen AI Center
Tübingen AI Center, Machine Learning in Science, Uni Tübingen The `Machine Learning in Science’ Group at the University of Tübingen + Tübingen AI Center (PI: Jakob Macke) has several openings for Postdocs, to work on the intersection of mach... ine learning and science, in particular computational neuroscience.
Primarily, we are looking for scientists to work on deep mechanistic models of the fly visual system (funded by an ERC Consolidator Grant) and generative models for multi-modal neural and clinical time series, but we are also interested more broadly in method development/ machine learning for science! 🧫 🧠 🪰
Please check out our research www.mackelab.org and twitter/ bsky @mackelab, and reach out to us via email ASAP (currently screening applications 🙌🏼) mls-jobs@inf.uni-tuebingen.de to be notified or for informal inquiries!
Flowstation AI Join Flowstation AI: Shape the Future of Construction with Your Research At Flowstation AI, we are revolutionizing how homes are built. By bringing cutting-edge research into t... he construction industry, we empower developers to build faster and smarter. We’re a growing startup at the intersection of AI, computer vision, and construction—an ideal place for recent graduates to apply their research directly to real-world challenges. Why You Should Join Us • Turn Your Research into Real Impact Instead of leaving your academic work on a shelf, apply it in the field. At Flowstation AI, you’ll bridge the gap between theory and practice, using your vision models or detection system expertise to solve immediate, industry-wide problems. • Step into Leadership and Accelerate Your Career We don’t believe in waiting years before you get to lead. From day one, you’ll have a leadership role, guiding critical projects and influencing the company’s direction. This hands-on experience will help you stand out, making it easier to secure the jobs you truly want and get the most out of your career journey. Who We’re Looking For If your research involves vision models or detection systems, let’s connect. Bring your ideas, make them real, and shape the world’s future housing solutions. Join Flowstation AI. Innovate, Lead, and Build a Career You’re Proud Of.
Research Fellow: Reliable Language Agents via Uncertainty Quantification
Nanyang Technological University, Singapore We seek to appoint a postdoctoral Research Fellow (fixed term, 30 months) to work on uncertainty quantification in LLMs. Candidate must be close to completion or hold a relevant P... hD with post-qualification research experience in statistical machine learning, and deep learning or large language models, with a track-record of excellent publications in these areas.
This postdoc will be a member of a joint project across University of Oxford, Nanyang Technological University and National University of Singapore, studying the reliability of LLMs through the lens of uncertainty quantification, Bayesian inference, conformal prediction, and world models.
Along with industrial and government partners, the postholder and project team will use these methods to address current issues with LLMs, such as reward hacking, active learning and testing of LLMs.
Boson AI Boson AI works on foundation models for entertainment and engaging conversations. We are seeking research scientists and engineers to join our team full-time in our Santa Clara of... fice. As part of your role, you will work on designing model architectures, proposing new loss objectives, and improving generative multimodal models to a new level. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI.
Responsibilities * Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data. * Build diverse datasets to support multimodality learning, including data collection and processing. * Develop new evaluation pipelines to adapt to various forms of generative outputs.
You may be a good fit if you have experience in writing clean and efficient code; a Master's or Doctoral degree in computer science or equivalent; proficiency in at least one deep learning framework, such as PyTorch or JAX; and lastly, you have participated in at least 1 research project related to multimodality learning.
Strong candidates may also have: * Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.) * Experience in document understanding (e.g., layout analysis, structured data extraction, OCR). * Experience in audio transcription, diarization, audio generation, etc. * Active Github contributions are a big plus. * Experience in handling data at billions-scale
Boson AI was founded by Alex Smola and Mu Li. We are a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI.
PSU EECS LPAC Looking for PhD students who are interested in ML, symmetry/group theory applications in CV/CG, robotics, biomedical multimodal datasets
... Link:https://vision.cse.psu.edu/home/home.shtmlSee More >>
PhD/Senior Machine Learning Engineer
SambaNova Systems You will be responsible for:
Enabling large language and multi-modal models on SambaNova hardware. Staying in touch with state of the art research and providing feedbac... k on technical decisions within the team. Maintaining quality software and working on a project end-to-end. You will be expected to run deep learning experiments as well as productize your code for customer deployment.
Link:https://sambanova.ai/enterprise-ai-careers-job-openings?gh_jid=5299755004&gh_src=cfdaafa34usSee More >>
Research intern
Huawei Research Working on continual learning, RL, optionally with llms. Candidates should pursue a phd in related fields
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PhD in Open-Source Foundation Models
Eindhoven University of Technology Join a groundbreaking project to develop a next-generation, open-source family of foundation models. We are seeking a proficient and talented PhD student with a true passion for A... I. You will play a pivotal role in a team exploring new large model architectures, novel efficient finetuning and adaptation techniques, refining data to enhance learning and generalizability, creating benchmarks, and ensuring AI safety. [4 year position]
Eindhoven University of Technology Join a groundbreaking project to develop a next-generation, open-source family of foundation models. We are seeking a proficient and talented researcher who is passionate about la... rge models and learning to learn. You will play a pivotal role in a team exploring new model architectures, novel efficient finetuning and adaptation techniques, refining data to enhance learning and generalizability, creating benchmarks, and ensuring AI safety. [3 year position]
Eindhoven University of Technology We are seeking a passionate and talented research Scientist to lead the development of an AutoML platform that integrates cutting-edge machine learning techniques with natural lan... guage interfaces. You will work closely with an exceptional team of engineers and researchers to design a system that makes AI more accessible, impactful, and responsible. [2 year position]
Research Engineer in Open-Source Foundation Models
Eindhoven University of Technology We are looking for an exceptional research engineer with a passion for AI and open-source development. In this role, you will design and build cutting-edge tools and software that... will shape the future of foundation models, used by millions of people worldwide. [3 year position]
Postdoctoral Researcher in ML / NLP Opportunity at Microsoft Research Africa
Microsoft Research Lab - Africa The Microsoft Research Lab - Africa is a research institute located in Nairobi, Kenya. Our mission is to understand, build and deploy innovative cloud and AI technologies which no... t only address core opportunities in Africa and help to solve local challenges at scale, but which will create a more productive future globally.
Microsoft Research Lab - Africa Microsoft Research Africa, Nairobi is looking for a full-time Senior Researcher to join the dynamic, multidisciplinary team at Microsoft Research Africa, Nairobi. The ideal candid... ate will have deep ML/NLP/Generative AI research experience, a proven track record of research leadership, experience or interest in working with a multidisciplinary team and a dedication to impact in Africa.
Microsoft Research Africa’s mission is to understand, build and deploy innovative cloud and AI technologies which not only address core opportunities in Africa and contribute to solving local challenges at scale, but which contribute to creating better futures of work, health and society globally. We’re pursuing an ambitious research agenda to create Globally Equitable Generative AI, including foundational innovation in
Machine Learning and Generative AI models The platforms built on top of the models The applications using generative AI This involves solving deep technical and socio-technical challenges including NLP for African and under-resourced languages and the production of culturally, linguistically and contextually appropriate output. Microsoft Research Africa is a relatively young research lab, and we are looking for team members committed to growing our research agenda and creating impact.
The ideal candidate will be excited to work in a multidisciplinary team, consisting of ethnographers, computer scientists, human-computer interaction researchers, designers and engineers. They must have an appreciation for the value of working with deep qualitative research and delight in pushing the boundaries of their academic disciplines through cross-disciplinary partnerships.
Sparsity We are seeking a candidate with a strong analytical AI background to drive Sparsity’s strategy and execution in decentralized intelligent computing. Sparsity, backed by a16z, aims... to pioneer the next generation of computing infrastructure, designed to minimize both adversarial impact and automation failures. Our platform focuses on being highly automated and inherently trusted. While gaming serves as our initial use case and go-to-market strategy, Sparsity's applications extend to all fields requiring both automation and trust.
**Key Responsibilities** + Scoping: Collaborate with game design and engineering teams to define the R&D demos to be created. + Prototyping: Work together to develop R&D demos that showcase Sparsity's capabilities. + Academic Awareness: Stay current with developments in AI, both broadly and in related specialized fields, to help shape the company’s thesis and strategy. + Communication: Serve as a knowledgeable resource, educating both internal and external audiences. + Thought Leadership: Identify major risks and opportunities in AI, develop the company’s AI worldview through independent thinking, and progressively establish industry thought leadership. + [Optional] Publishing: Publish research results in academic papers, contributing to the field's advancement.
**Qualifications** + AI Background: Strong analytical expertise, with a PhD in a relevant field. + Fast Learner: Ability to quickly grasp new fields and critically assess key concepts within two months. + Coding and Writing Fundamentals: Graduate-level coding and writing skills, with examples of prior work available for review. + High-Velocity Teamwork: Collaborative mindset, open to transparency and direct communication within a team environment. + [Optional] Gaming Insight: Engagement or insights into gaming is a plus.
The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitiga... ting those risks and creating a positive experience for our customers.
What You’ll Do
Our Data Scientists are responsible for the entire model development lifecycle
Where you’ll work
This role will be based in our San Francisco office (we also have openings for our São Paulo, Brazil Office). You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.
Responsibilities
Drive Data & AI solutions from inception to deployment to efficiently manage risk Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)
Requirements
4+ years of experience in Data Science/ML roles Expertise with Python programming, SQL queries, and ML-related frameworks Previous experience in the Risk domain (Fraud, AML, and/or Credit) Strong communication and interpersonal skills
Bonus points
Experience working with real-time data sets Experience in the finance industry
Compensation
The expected salary range for this role is $176,800 - $221,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Link:https://www.linkedin.com/jobs/view/3975313665See More >>
Senior Deep Learning Researcher
Pinely We are on the hunt for a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿 to join our team!
🟢 At 𝗣𝗶𝗻𝗲𝗹𝘆 we have been developing high frequency trading str... ategies for global exchanges for over 15 years. Our HQ is located in 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺, with additional offices in Singapore, Cyprus, and Dubai. We pride ourselves on being an exceptional international team of enthusiastic researchers, award winners, and experienced industry professionals.
We are eager to find the right person to help us 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 using the latest academic findings and deep scientific research. You will play a key role in building a universal and scalable deep learning strategy capable of trading all financial instruments across global markets.
Why us? 🔘 Competitive Salary with significant bonuses twice a year. 🔘 Collaborative Environment: Work alongside top-talent researchers in a supportive team. 🔘 Work-Life Balance: We value your well-being and encourage a healthy work-life balance. 🔘 Relocation Assistance: We provide support for you and your family if you’re moving to join us. 🔘 Remote Work Options: We are open to discussing fully remote positions with occasional business trips to Amsterdam.
We operate as a research lab, offering high income, absolute freedom to experiment, and instantaneous feedback on research ideas. Our ambitious goals are driven by curiosity, openness, and teamwork.
🟢 If this sounds like the perfect opportunity for you, we’d love to discuss it further! Please check out the full job description here - https://lnkd.in/ekKp-eyA and reach out if you’re open to exploring this exciting role.
P.S. Even if you’re not actively looking for a job change right now, I’d still love to connect and chat about what’s new in the deep learning world. Let’s connect!
Mercor is seeking STEM PhD Intelligence Analysts to he... lp train frontier models at a leading AI lab. Qualities we are looking for: • Advanced analytical, writing, and critical thinking capabilities • Communicative and responsive to deadlines The ideal candidate has: • PhD in STEM discipline (completed or pursuing) • Recent research experience in their domain Project details: • Working directly with a leading AI lab as an independent contractor • Develop advanced academic questions in your field and collaborate with other experts within and outside your field • Hourly commitment: 10-25 hours/ week • Pay: $45-75/ hour, paid out weekly via Stripe Connect • Duration: 4-8 weeks, with potential to be extended depending on client need and performance • Flexible, remote, part-time Applicants must additionally complete the requested AI interview for an application to be considered complete.
Link:https://mercor.com/jobs/list_AAABk6TbBl1zKuPlsnxLSJIA?referralCode=b17be01d-8e2e-11ef-b304-0e90f898f9c3See More >>
Postdoc/Research Scientist-Foundation Models and Generative AI for Materials Discovery
University of Minnesota One or more positions are available starting January 2025 for computational researchers at the postdoc or research scientist levels for projects related to the development of m... achine learning (ML) based foundation models and generative AI for materials discovery. These projects build upon and integrate with the OpenKIM and ColabFit frameworks pioneered at the University of Minnesota (UMN) in close collaboration with NYU. OpenKIM is a core NSF cyberinfrastructure for archiving and testing interatomic potentials (IPs) used in atomistic simulations of materials, and development of uncertainty quantification (UQ) methods for providing confidence bounds on IP predictions. ColabFit is a repository of curated first principles data for training advanced data-driven machine learning IPs (MLIPs). The work will involve: • Development of the FERMat foundation model for materials and chemistry. FERMat is an ML encoder trained on very large amounts of heterogeneous and multimodal data for both one-shot prediction of material properties, and for fine tuning to specific applications. • Development of the Open Materials Generation (OMG) generative AI framework. OMG is based on an innovative stochastic interpolants approach for guided materials discovery, and is currently the field leader in performance. • Applications of these tools in different domains including simulation and discovery of superconductors, shape-memory materials for biomedical applications, high-entropy alloys for aerospace applications, advanced nonlinear optical materials for sensing, and others.
Link:https://openkim.org/umn-ai4mat-job-2025.pdfSee More >>
Member of Technical Staff - Data Scientist
Microsoft As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our t... ime. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in data science technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Growth Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.
Link:https://jobs.careers.microsoft.com/global/en/job/1792493/Member-of-Technical-Staff---Data%E2%80%AFScientistSee More >>
Research Scientist - LLM (Agents) Development And Interpretability
We are seeking accomplished research scientists to join our U.S.-based stealth startup, focusing on cutting-edge adva... ncements in LLM Interpretability and LLM Agent Development. Our team actively contributes to the field by publishing in top-tier machine learning venues and fosters an innovative, collaborative environment. We offer a competitive salary, comprehensive benefits, and the opportunity to shape the future of AI technologies.
Link:https://forms.gle/wMfDrSqkULcQoJQ16See More >>
AI Agents Molecule Discovery
Eli Lilly We are seeking a skilled researcher with expertise in AI Agents, planning and decision-making algorithms, to join our multidisciplinary team within Lilly’s Discovery Chemistry Re... search and Technologies (DCRT) organization. You will help develop AI agents that autonomously plan, execute and optimize complex chemistry and biology workflows, leveraging advanced AI techniques to accelerate medicine discovery.
This role offers the opportunity to work at the forefront of AI-driven drug discovery, collaborating with experts across AI@Lilly and Tech@Lilly functions, as well as chemistry, biology, and automation. Your work will directly impact the development of life-changing medicines.
Responsibilities:
Agentic Framework Development
Design an AI Agent platform enabling autonomous agents to optimize chemistry and biology workflows.
Integrate multiple AI agents to enhance collaboration, efficiency, and scalability in scientific processes
Workflow Automation
Develop solutions using LLMs and Generative AI to automate multi-modal data processing, analysis, and interpretation in chemistry and bioinformatics.
AI Engineering and Optimization
Train, fine-tune, and deploy transformer-based models tailored to chemistry and biology applications.
Research and Collaboration
Conduct independent research; collaborate with chemists, biologists, and computer scientists to integrate AI solutions into existing workflows.
Basic Qualifications
Ph.D. degree in Computer Science, Computational Chemistry, Bioinformatics, Engineering, or a related field
Microsoft The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality search experience to over 500M+ monthly active... users around the world in Microsoft’s search engine, Bing and other dependent search engines such as Yahoo, DuckDuckGo, and new startups like Neeva.
We are looking for a Senior Data & Applied Scientist who wants to build the next generation of search to revolutionize the way people discover and access information by harnessing the power of advanced language models and search technologies, ensuring a personalized, reliable, and inclusive search experience for all users. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, machine reading comprehension, and document recommendations.
Link:https://jobs.careers.microsoft.com/global/en/job/1795704/Senior-Data-%26-Applied-ScientistSee More >>
Senior Applied Scientist, Microsoft AI
Microsoft The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality search experience to over 500M+ monthly active... users around the world in Microsoft’s search engine, Bing and other dependent search engines such as Yahoo, DuckDuckGo, and new startups like Neeva. We are looking for a Senior Applied Scientist, Microsoft AI to join us.
We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.
Link:https://jobs.careers.microsoft.com/global/en/job/1791806/Senior-Applied-Scientist%2c-Microsoft-AISee More >>
Applied Scientist II
Microsoft The Product Ads Algorithm & Infrastructure team in Ads Understanding team is hiring an Applied Scientist II. The team is responsible for product ads selection, relevance, mode... ling, and online infrastructure for serving and experimenting cutting edge algorithms, ranging from natural language processing (NLP) to information retrieval, computer vision, etc. The team leverages heavily on deep learning methodologies to build solutions to meet the Commerce Strategy of Microsoft, where Product Ads is at the center of it! We are looking for a passionate scientist to deliver an amazing shopping experience with our multi-modal models backing it up.
Link:https://jobs.careers.microsoft.com/global/en/job/1792775/Applied-Scientist-IISee More >>
Principal Applied Scientist
Microsoft The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality search experience to over hundreds of millions... monthly active users around the world in Microsoft’s search engine, Bing and other dependent search engines such as Yahoo, DuckDuckGo, and startups like Neeva. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges.
As a Principal Applied Scientist in Core Search and AI team, you will be working on cutting-edge machine learning and LLM technology to improve online engagement of Bing Search. We have many exciting problems here to solve like leveraging LLM for relevance improvement and training data collection, building SOTA large scale NN models and feature processing framework, use reinforcement learning to drive user retention etc. This opportunity will allow you to work on the latest and innovative areas and help you develop skills in Artificial Intelligence, Machine Learning, data science and Large-Scale systems.
Link:https://jobs.careers.microsoft.com/global/en/job/1783239/Principal-Applied-ScientistSee More >>
Principal Applied Scientist
Microsoft We (Bing Multimedia Team) are on a mission to reinvent image and video search in LLM era and make Bing the best place to search, create and consume media content.
Bing Mult... imedia team at Microsoft AI is responsible for all aspects of image and video related system, data and ML, and experience includes image search, video search, visual search, Bing image creator (generative AI tool), Bing SERP image and video enrichment including image/video answers, entity image/video, algo rich caption image etc. We own E2E stack from index to ranking to experience, and work closely with platform team and other Bing team to deliver delightful and quality media experience to user across Bing, and drive monetization and revenue.
We are an interdisciplinary team of data and applied scientists, engineers (ux and infrastructure) and product managers, learning from each other, and collaborating to create the best models/infra/experience and ultimately best products.
We are looking for a Principal Applied Scientist and technical leader who will work directly under VP of Bing Multimedia, and excited about defining and executing AI technical roadmap to redefine next generation of media search system in the LLM era, and make Bing the best place to search, consumes and create media content. In particular, we are looking for candidates who:
Microsoft Microsoft AI (Artificial Intelligence) is looking for a Senior Principal Applied Scientist with expertise in fields like Machine Learning, Reinforcement Learning, Causal Inference... , Large Language Models, Natural Language Processing (NLP), Natural Language Generation (NLG), Control Theory, Data Science, Data Mining, or related areas.
This position will be based in either Mountain View, CA, or Redmond, WA.
In this role, you will contribute to the development and implementation of advanced AI methods at a web scale. Key responsibilities include enhancing algorithms for both online and offline systems to deliver scalable solutions, which improve the experience of both users and advertisers. The work impacts Microsoft Ads, Microsoft Audience Network, Copilot, and more.
The team focuses on selecting relevant content such as ads and modeling user interactions. This involves understanding and generating ad content, as well as predicting user engagement with ads on search result pages or conversational interfaces like Copilot. Accurately estimating user interaction metrics, such as click-through rates, is essential for evaluating satisfaction for both advertisers and users.
As part of the Signals Modeling team, the role involves developing machine learning models to predict interactions between users and ads. The team works on all aspects of modeling, including data preparation, feature engineering, model development (e.g., Large Language Models, deep neural networks, linear models, and Gradient Boosted Decision Trees), and model evaluation both online and offline.
Microsoft Do you want to work on a product that is used daily by more than 100+ millions of users? A product that is used by 91% of Fortune 100 companies. A product that is available in 181... markets with a support for 44 languages. A product which is recognized as fastest growing app in the history of Microsoft.
We’re working on Microsoft Teams - modern collaboration and productivity hub for the workspace (https://products.office.com/en-us/microsoft-teams). Microsoft Teams brings together real time audio/video conferencing solutions, chat and Office 365 workloads such as Exchange, SharePoint, OneDrive and OneNote and integrates them in one product creating smooth user experience.
Microsoft Teams is built using cutting edge technology leveraging best from Microsoft Research, open source and Azure cloud. Using short development cycles, we ship incremental updates to our customers, collect feedback and metrics and through that iteratively improve the product.
Teams are distributed across US, Europe and India which gives us a unique operational support. With world class tooling such as Microsoft DevOps and using our own product – Microsoft Teams - we’re driving truly global business.
Microsoft Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people. As a S... enior Applied Scientist in Microsoft’s productivity division, your core mission will be to deliver exciting innovation in Microsoft Copilot. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. The successful applicant(s) will collaborate closely with people across Microsoft’s product teams and Microsoft Research to see their ideas realized in products and services that are used worldwide, as well as to contribute back to the scientific community and beyond (e.g. via presentations, publications, media interviews, and similar).
Link:https://jobs.careers.microsoft.com/global/en/job/1786176/Senior-Applied-ScientistSee More >>
Senior Applied Scientist
Microsoft Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Applied Scientist are endless. You will have the chance to work on AI/ML pro... jects and deliver solutions that will change the way we develop games and entertainment services. We are an agile team within Xbox Games Studios Quality tackling a wide range of problems throughout the game development process.
As an Senior Applied Sciences Specialist in Xbox Games Studios Quality, you will be working with major franchises that include Halo, Forza, Gears of War and Microsoft Casual Suite. You will also be involved in all phases of development and sustainment efforts. This opportunity will allow you to research and deploy deep learning solutions in computer vision and reinforcement learning. You will have the opportunity to bring SOTA solutions to the game development pipeline. This position includes flexible work from home options.
Link:https://jobs.careers.microsoft.com/global/en/job/1793361/Senior-Applied-ScientistSee More >>
Senior Machine Learning Engineer – Xbox Games Technology Group – The Coalition
Microsoft Games continue to evolve and push the boundaries of entertainment as we know it. The bar to deliver world-class games continues to rise, driven by advantages in better hardware an... d software capabilities. Along with optimizing game development engines, developing infrastructure and workflows for efficient remote and hybrid development, brings new opportunities and engineering challenges that all studios are facing today. Solving these challenges is critical to enabling efficient hybrid teams as well as external globally distributed development partners who help scale during peak phases of development. At The Coalition Studio, through our work on the acclaimed Gears of War franchise, we are tackling these problems head-on by leading engine innovation, developing technical showcase technologies, and delivering world-class workflows, tools and features that are adopted across the wider Xbox Game Studios organization.
Machine Learning as a focus area has experienced significant growth over the past few years, and it has been exciting to see so many ways in which it can be applied to games development. The Coalition is looking to hire a Senior Machine Learning Engineer to join the team responsible for exploring these areas of research and directly applying them to impact our game development process. We directly support the team by finding ways to improve developer efficiency, allowing our game designers, animators and engineers to focus on what they do best. Some areas we are exploring are generative animations, automated testing using reinforcement learning agents, and multi-modal language models. This candidate can wear many hats and is comfortable diving into different technology stacks, including languages like Python, C#, C++, and Rust.
Link:https://jobs.careers.microsoft.com/global/en/job/1731576/Senior-Machine-Learning-Engineer-%E2%80%93-Xbox-Games-Technology-Group-%E2%80%93-The-CoalitionSee More >>
Applied Scientist II- Web Security Research
Microsoft Microsoft Ads Fraud Detection operates at the intersection of Security and Machine learning. We design and develop fraud detection algorithms that run at webscale in real time and... protect billions of dollars of revenue from fraudsters. Our algorithms need to run in a high precision/ high recall operating point.
We are always in a race with fraudsters to design new ways to detect fraud.
This role is available in Mountain View, CA or Redmond, WA.
As an Applied Scientist II-Web Security Research on our team, you'll be at the forefront of web security research. You will develop a deep understanding of advertising eco-system at an individual request level and exploit that knowledge systematically to identify new signals that can set fraudsters apart. You will investigate complex and evolving attacks and develop signals to detect them. Given the large surface area that needs to be protected, you will create tools to allow you to scale and drive high impact.
Link:https://jobs.careers.microsoft.com/global/en/job/1764202/Applied-Scientist-II--Web-Security-ResearchSee More >>
Principal Applied Scientist
Microsoft We are hiring a Principal Applied Scientist in Redmond, WA or Mountain View, CA to empower the rest of Microsoft’s teams and customers to build on the Core Search and AI team’s i... ndustrial grade machine learning. A critical part of the role is to develop an end-to-end understanding of Core Search and Artificial Intelligence (AI) models and to adapt these models and techniques to new search challenges across the company. This role will require solving both data science and engineering challenges.
We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.
As a team, we leverage the diverse backgrounds and experiences of engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.
Microsoft Microsoft Audience Network (MSAN) part of the Microsoft AI (Artificial Intelligence) is seeking a Senior Applied Scientist-Ads.
This role is available in Redmond,... WA or Mountain View, CA.
This is an exceptional opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform.
As the Senior Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as Natural Language Processing (NLP) , Computer Vision(CV), and large language models(LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.
In this role you will have the opportunity to solve for problems related to Ads selection and Ads ranking.
Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.
Link:https://jobs.careers.microsoft.com/global/en/job/1754920/Senior-Applied-Scientist-AdsSee More >>
Senior Data and Applied Scientist
Microsoft The Microsoft AI (Artificial Intelligence) Multimedia Index Selection team is looking for a Senior Data and Applied Scientist to help us build the next generation platform for Bin... g and Microsoft AI.
Our mission is to construct the most comprehensive, rich, clean, diverse and fresh image index, that serves as the cornerstone for all Image related search scenarios at Microsoft. We are at the forefront of Image index quality, developing AI models for Image content discovery, selection, ranking, and processing. Maintaining a comprehensive, rich, diverse, clean, and fresh index presents significant challenges that require a strategic approach. We must balance various improvement pillars while making necessary tradeoffs to ensure scalability and efficiency for billions of images. Our commitment to innovation and imagination is tempered by the need to be mindful of cost and latency.
This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. In this role, you will be instrumental in bringing new AI technology into production, pushing the boundaries of state-of-the-art (SOTA) both within the company and in the broader industry to fulfill Multimedia product requirements. You will play a significant role in the research, design, development, data analysis, feature creation, and implementation of applied research projects, applying scientific principles and techniques to solve real world problems. You will create Deep learning, SLM, LLM, and multimodal models to analyze and interpret various forms of content to enhance system capabilities, manage models and data at a Pentabyte scale, and address the extreme challenges posed by new generation AI systems.
Link:https://jobs.careers.microsoft.com/global/en/job/1784170/Senior-Data-and-Applied-ScientistSee More >>
Human-Centered AI ML Research Intern, 3D/CAD (Toyota Research Institute)
Toyota Research Institute We are seeking a highly motivated and dedicated PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technol... ogies in the domain of automotive product design. The ideal candidate will have a strong background in Mechanical Engineering and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop physically and semantically constrained 3D shape generation techniques with applications to CAD.
Microsoft We are seeking a Senior Applied Scientist to join a foundational team to steer the trajectory of machine learning research, with an eye toward enterprise and institutional applica... tions.
This role is a unique intersection of scientific research and business transformation strategy, focusing on the crucial research questions that arise from real integration of Artificial Intelligence (AI) technologies into global organizations at the largest scale. As part of our team, you will have the chance to travel to meet partner researchers and work hand-in-hand with Subject Matter Experts, Scientists, and Senior Managers. Your science, engineering and business acumen will establish how AI is used in the world’s largest and most complex organizations.
Link:https://jobs.careers.microsoft.com/global/en/job/1780478/Senior-Applied-ScientistSee More >>
NSF A3D3 Institute Postbaccalaureate Fellowship 2025-2026
A3D3 The Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute funded by the National Science Foundation (NSF), under the Harnessing the Data Revolution (HDR) program, i... s seeking postbaccalaureate research fellows to join our interdisciplinary teams of scientists and engineers to develop and deploy artificial intelligence (AI) to accelerate science discoveries in particle physics, astrophysics, biology, and neuroscience. The application deadline is February 16, 2025. Applications will be handled through Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/28839
This program seeks to give students holding a bachelor’s degree in a relevant field the opportunity to conduct groundbreaking AI research prior to applying to graduate school or continuing their careers. Candidates will be evaluated on the basis of a holistic rubric including categories for academic preparation, research potential, social justice and community involvement, alignment with the program, and potential benefit from the program (e.g., lack of prior access to research opportunities). There is no minimum GPA requirement and no prior research experience is required. We strongly encourage women and individuals from traditionally underrepresented groups in STEM to apply.
The appointment is for a one-year term with a nominal start date of June 9, 2025. This is a full-time, salaried position with benefits. Postbac fellows will be assigned to one of the projects listed at https://a3d3.ai/careers/ at one of the hosting institutions based on preferences and availability. Postbac fellows will also have access to professional development opportunities including career guidance and graduate school preparation.
A3D3 is a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery. Contact us at the email below.
Link:https://academicjobsonline.org/ajo/jobs/28839See More >>
PhD Student
University of Wuerzburg The Data Driven Decisions (D3) Group at the University of Würzburg develops and applies new data-driven methods for better decisions in management fields such as Retail, Supply Ch... ain, Healthcare, Smart Cities, Energy, and Mobility. With 15 researchers, a strong international orientation, and affiliation with the Center for AI and Data Science (CAIDAS), we now invite applications for multiple Doctoral Student positions in our “AI-based Operations & Supply Chain Management” initiative.
We focus on large-scale time-series transformers and deep reinforcement learning to exploit extensive company data. Our goal is to enable automated, data-driven decision-making under uncertainty—e.g., for inventory or capacity management. Our work combines machine learning, statistical learning theory, and mathematical optimization to ensure scientific rigor and practical applicability. Collaborations with industry partners provide real-world validation of our approaches.
We seek motivated candidates with excellent analytical skills, ideally in Data Science, Machine Learning, Optimization, or related fields. Experience in Supply Chain Management is advantageous but not mandatory. You will join an ambitious, interdisciplinary team of researchers (mathematics, economics, data science, engineering) and benefit from personalized guidance to publish in leading scientific journals. We encourage participation in international conferences and seminars, plus the opportunity to spend time at collaborating institutions. The typical timeframe for completing your doctoral dissertation is around three years.
Senior Researcher – Generative AI – Microsoft Research AI Frontiers
Microsoft Microsoft Research AI Frontiers lab is seeking applications for the position of Senior Researcher – Generative AI to join their team in Redmond, WA OR New York City, NY.
...
The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca) and agentic AI systems (e.g. AutoGen, MagenticOne, OmniParser).
We are seeking a Senior Researcher to join our team and contribute to the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Senior Researcher, you will play a crucial role in developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.
Our ongoing research areas encompass but are not limited to:
Reasoning and inference-time compute strategies Action models for automating web and computer tasks Learning and memory for agentic AI systems to enable them to evolve and adapt over time Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight Evaluation and Understanding of model and agent capabilities
Senior Principal Researcher – Generative AI – Microsoft Research AI Frontiers
Microsoft Microsoft Research (MSR) AI Frontiers lab is seeking applications for the position of Senior Principal Researcher – Generative AI to join their team in Redmond, WA or New York Cit... y, NY.
The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca) and agentic AI systems (e.g. AutoGen, MagenticOne, OmniParser).
We are seeking a Senior Principal Researcher – Generative AI to join our team and lead efforts on the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Senior Principal Researcher – Generative AI, you will play a crucial role in leading, developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.
Our ongoing research areas encompass but are not limited to:
Reasoning and inference-time compute strategies Action models for automating web and computer tasks Learning and memory for agentic AI systems to enable them to evolve and adapt over time Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight Evaluation and Understanding of model and agent capabilities MSR offers a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.
Link:https://jobs.careers.microsoft.com/global/en/job/1797086/Senior-Principal-Researcher-%E2%80%93-Generative-AI-%E2%80%93-Microsoft-Research-AI-FrontiersSee More >>
Senior Research Software Engineer
Microsoft Microsoft Research (MSR) AI Frontiers is inviting applications for a Senior Research Software Engineer to join our team. We are focused on solving real-world problems and pushing ... the boundaries of agentic Artificial Intelligence (AI) systems and research.
The mission of the AI Frontiers lab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on multi-agent systems (e.g. AutoGen), small language models (e.g. Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools), and evaluation (e.g., Eureka).
We are seeking exceptional candidate to advance the state-of-the-art in foundation model-based agentic systems and interaction research. Focus areas include, but are not limited to, the following:
Multi-agent systems and applications Foundation model-based agents Reliable and general-purpose agentic capabilities Human-AI/agent interaction and experiences Agentic evaluation and tooling Responsible AI As a Senior Research Software Engineer on our team, you will work hands-on on challenging and impactful projects. You will apply your strong software engineering skills and expertise to a range of problems including rapid prototyping and testing of research hypotheses, contributing to, releasing, and maintaining high-quality open-source libraries and frameworks, and building and deploying robust practical solutions to real world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.
Link:https://jobs.careers.microsoft.com/global/en/job/1778664/Senior-Research-Software-EngineerSee More >>
Principal Research Software Engineer
Microsoft Microsoft Research (MSR) AI Frontiers is inviting applications for a Principal Research Software Engineer to join our team. We are focused on solving real-world problems and pushi... ng the boundaries of agentic Artificial Intelligence (AI) systems and research.
The mission of the AI Frontiers lab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on multi-agent systems (e.g. AutoGen), small language models (e.g. Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools), and evaluation (e.g., Eureka).
We are seeking exceptional candidates to advance the state-of-the-art in foundation model-based agentic systems and interaction research. Focus areas include, but are not limited to, the following:
Multi-agent systems and applications Foundation model-based agents Reliable and general-purpose agentic capabilities Human-AI/agent interaction and experiences Agentic evaluation and tooling Responsible AI As a Principal Research Software Engineer on our team, you will work hands-on on challenging and impactful projects. You will apply your strong software engineering skills and expertise to a range of problems including rapid prototyping and testing of research hypotheses, contributing to, releasing, and maintaining high-quality open-source libraries and frameworks, and building and deploying robust practical solutions to real world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.
Link:https://jobs.careers.microsoft.com/global/en/job/1780842/Principal-Research-Software-EngineerSee More >>
Member of Technical Staff - Data Scientist
Microsoft As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our t... ime. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.
Link:https://jobs.careers.microsoft.com/global/en/job/1797220/Member-of-Technical-Staff---Data-ScientistSee More >>
Postdoctoral Researcher
Gwangju Institute of Science and Technology We have one opening for a postdoctoral researcher position at GIST. Our group challenges problems that humans can easily solve, but AI has not yet performed well (Abstraction Reas... oning Corpus, Rich Math Problems). The ideal candidates require to have a PhD in CS/EE/IE, proficient in PyTorch, and strong record of publications in AI/ML conferences. As working with our lab, you'll lead collaborations with ARC researchers around the world, and get huge student supports. If you are interested in, send me your (1) updated CV and (2) one representative publication to sundong@gist.ac.kr. I will follow up with the qualified candidates with further information via email. PI: Sundong Kim, https://sundong.kim Link:http://sundong.kimSee More >>
AI Consultant in Health Research - Postdoc
Helmholtz AI The Munich AI consultant team collaborates with researchers from the whole Helmholtz Association on projects on cancer and infection research, molecular medicine, as well as neuro... degenerative and environmental diseases. We offer you the unique opportunity to use your expertise in AI to answer questions of great societal importance in a vibrant international environment.
To join our growing team, we are inviting applications for
AI Consultant in Health Research - Postdoc (f/m/x)
You will develop AI-based analytics for the unique data sets generated by renowned researchers, with a focus on health applications. You will also play a crucial role in achieving our long-term goal of facilitating open access to AI expertise through interdisciplinary collaborations and dissemination.
Your tasks - apply and disseminate emerging AI methods to solve concrete research questions - develop and maintain open-source AI scientific software - continuously learn about state-of-the-art AI methods and their applications - be a point of contact for questions related to AI and provide critical assessments - be a fundamental part of one of the largest scientific AI initiatives in Europe
Your profile - PhD degree in computer science, engineering, mathematics, physics, bioinformatics or another field related to data science - track record in applying state-of-the-art Deep Learning architectures (e.g. transformers) to biomedical tasks, ideally in medical imaging, drug discovery or multi-omics data - proficiency implementing state-of-the-art vision-language models or generative models - experience with multimodal representation learning and model alignment - systematic way of working, and the ability to communicate clearly with different stakeholders - open and curious mindset with a strong team spirit
Link:https://jobs.helmholtz-muenchen.de/jobposting/9e4aa8c2ec4751d488532dfd82e3ccbf5bd43d410?ref=as_science_careersSee More >>
Researcher/PhD in bioinformatics
German Research Centre for AI (DFKI) Are you a bioinformatician interested in machine learning or a data scientist interested in biomedical applications?
At the German Research Centre for Artificial Intelligen... ce we are currently recruiting full-time researchers, PhD candidates and postdocs to work on a project developing methods using multi-omics data to predict cardiovascular disease.
BigHat Biosciences BigHat Biosciences is hiring ML Scientists - come work on hard problems in ML-driven protein engineering with applications to human disease, and have your models validated by desi... gning your own antibodies to send to the weekly build-test-train cycle in our high-throughput wetlab!
Link:https://bighatbiosciences.pinpointhq.com/en/postings/119cafe5-488c-4afd-970c-cb9f9a0faa11See More >>
Electronic Arts Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects... across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.
Electronic Arts Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects... across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.
Electronic Arts Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects... across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played.. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.
As a Machine Learning Scientist, you will realize the team’s research roadmap by combining the latest research inside and outside of EA and applying it to video games. We are looking for an expert that oversees the system designs and ML techniques used across our various ongoing and legacy ML projects inside our franchise. You will be working with ML and traditional SEs, and animators to drive technical growth and help sculpt a technology roadmap that meets our production needs.
Link:https://jobs.ea.com/en_US/careers/JobDetail/Machine-Learning-Scientist/207968See More >>
AI Reasoning - Internship
MERL MERL is seeking passionate and skilled research interns to join our team focused on developing trustworthy machine learning technologies towards realizing more capable, general ag... ents. This is an exciting opportunity to make an impact on the field of AI safety and generalization, with the aim of publishing at leading AI research venues.
Link:https://www.merl.com/employment/internship-openings#CI0139See More >>
