Teads --Below a copy paste from the Linkedin job posting. Follow the link for a better rendering--
Our main Engineering challenges at Teads
Working in a very high-traffic... environment (1.9 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities. Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights. Implement your algorithms and models end to end. Collaborate with a variety of teams to develop services from design to production. Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...). Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Link:https://www.linkedin.com/jobs/view/3999736724/See More >>
Senior Data Scientist
Teads --Below a copy paste from the Linkedin job posting. Follow the link for a better rendering--
Our main Engineering challenges at Teads
Working in a very high-traffic... environment (1.9 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities. Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights. Implement your algorithms and models end to end. Collaborate with a variety of teams to develop services from design to production. Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...). Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Link:https://www.linkedin.com/jobs/view/3999736703/See More >>
Senior Machine Learning Scientist, Gen AI
Adyen This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technol... ogy platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
This is Gen AI Our team’s mission is to create a Generative AI platform at Adyen that supports various applications based on LLMs. This involves developing platform-oriented components for deploying an LLM backend within Adyen’s GPU cluster in Kubernetes, with features like monitoring, access control, rate limiting, prompt debugging, and experiment tracking. We mainly use Open Source frameworks like HuggingFace and LangChain, and models like Llama or Mixtral. This involves developing platform components, but also delivering on some of the most promising use cases across different areas within the company. Through use cases like support case routing and sentiment analysis, they showcase AI’s adaptability across different domains within the organization, revolutionizing workflows and decision-making processes.
What you’ll do You will be responsible for building and interpreting algorithms that power data products at Adyen using Generative AI or NLP techniques. That means leading end-to-end development from prompt engineering, few-shot learning, and fine-tuning self-hosted LLMs if needed. You will work on Natural Language Processing techniques and LLMs to tackle text classification, sentiment analysis, and summarization of Question-Answering retrieval.
Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of c... hoice. At Adyen, everything we do is engineered for ambition.
Adyen seeks a MLOps or DevOps Engineer to join our Generative AI team in Madrid. The mission of this team is to create a Generative AI platform enabling various applications with Large Language Models (LLMs). The team focuses on developing platform components for internal deployment and delivering end-to-end solutions for operational efficiency. Through use cases like support case routing and sentiment analysis, they showcase AI’s adaptability across different domains within the organization, revolutionizing workflows and decision-making processes.
Our mission is to create a Generative AI platform at Adyen, supporting various applications based on LLMs. This involves developing platform-oriented components for deploying an LLM backend within Adyen’s GPU cluster in Kubernetes, with features like monitoring, access control, rate limiting, prompt debuging and experiment tracking. We mainly use Open Source frameworks like HuggingFace and LangChain, and models like Llama or Mixtral. This involves developing platform components, but also delivering on some of the most promising use case across different areas within the company.
Leidos The Leidos AIML Accelerator has a career opening for a AI Privacy Research Lead. This is an exciting opportunity at the intersect of deployment and research; helping Leidos evang... elize privacy protections for customers eager to protect their systems data layers.
We are looking for a motivated AI Privacy Research Lead that wants to work on challenging problems in a variety of domains - including health, defense, intelligence, and energy - to both apply and go beyond the state of the art for measurably better privacy outcomes. We apply our knowledge, capabilities, and experience to develop and deploy:
-Trusted AI – systems that deserve to be trusted by system owners, end users, and the public – to be accurate, fair, ethical, reliable, and adaptable. -Edge-to-Cloud Flexible Frameworks – systems that are containerized and optimized to deployment platform across multiple edge/clouds. -Secure, Resilient Systems — systems that include designed-in resiliency, early eradication of design flaws, and active run-time assurances.
Your position would include pushing forward the state of the art on government funded research engagements with customers such as DARPA, meeting with program managers to present Leidos capabilities, preparing materials and briefing on current research and innovative ways to extend that to meet mission needs.
All of our domains and systems rely upon assurances of data privacy guarantees throughout the data’s complete lifecycle. We are looking for a researcher that is experienced researching, developing out, deploying, and describing privacy enhancing technologies as we expand our capabilities and deep understanding of data protections
Link:https://careers.leidos.com/jobs/14596250-ai-privacy-research-leadSee More >>
We aim to develop groundbreaking tools and services through the application of AI to data science. On our t... eam, you will gain hands-on experience with exploratory and challenging projects, ranging from research and development to the development of new services using research results.
As such, you will be responsible for the research and development of reinforcement learning algorithms in a project that focuses on the application of reinforcement learning to the learning of business activities (marketing, promotion, development, customer service, etc.), as well as the implementation of developed algorithms for those systems.
Responsibilities ■Research, development, and evaluation of state-of-the-art algorithms in reinforcement learning. ■Application of software engineering skills. ■Presentation of performance report. ■Communication with collaborators, including non-ML experts. ■Development of libraries for the practical use of research results. ■Writing papers about research results to be submitted to scientific journals and/or top international conferences.
Required qualifications ■Either currently pursuing, or have already obtained, a Ph.D. or M.S. in Computer Science or a related field. ■Expertise and excellent research track record in reinforcement learning. ■Implementation skills to advance research and development in Python. ■Strong communication, interpersonal, and presentation skills. ■Ability to work independently and in a team environment.
Preferred qualifications ■Broad knowledge and research experience in various areas of machine learning and computer science. ■Skills in developing commercial software (requirement definition, software design, implementation, testing, project management). ■Experience leading teams.
Product, Service Our goal is to propose new services and/or new functions for existing products and services.
Sony Group Corporation Technology Field Machine Learning Position Summary
We aim to develop groundbreaking tools and services through the application of AI to data science. On our team, y... ou will gain hands-on experience with exploratory and challenging projects, ranging from research and development to the development of new services using research results.
As such, you will be responsible for the research and development of LLM agent methods (techniques using large language models or fundation models for task automation) in a project that focuses on the application of LLM agent to the learning of business activities (marketing, promotion, development, customer service, etc.), as well as the implementation of developed algorithms for those systems.
Responsibilities ■Research, development, and evaluation of state-of-the-art algorithms in LLM agent. ■Application of software engineering skills. ■Presentation of performance report. ■Communication with collaborators, including non-ML experts. ■Development of libraries for the practical use of research results. ■Writing papers about research results to be submitted to scientific journals and/or top international conferences.
Required qualifications ■Either currently pursuing, or have already obtained, a Ph.D. in Computer Science or a related field. ■Expertise and excellent research track record in LLM agent and/or a related field. ■Implementation skills to advance research and development in Python. ■Strong communication, interpersonal, and presentation skills. ■Ability to work independently and in a team environment.
Preferred qualifications ■Broad knowledge and research experience in various areas of machine learning and computer science. ■Skills in developing commercial software (requirement definition, software design, implementation, testing, project management). ■Experience leading teams.
Full-Time - Research engineer for data science and machine learning
Sony Group Corporation Position Summary: 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
Responsibilities: ■ Research and develop machine learning algorithms ■ Propose novel customer value using machine learning and data science techniques ■ Design and develop prototype applications with development partners ■ Work closely with business divisions including entertainment, financial, and electronics domain in the Sony group ■ Publish research papers about these activities
Dataminr We’re looking for a strong technical leader with management experience to lead an interdisciplinary team of scientists and engineers for our knowledge platform. Job will be offici... ally posted on our website this/next week (with a more detailed description), but if you might be interested, please email me, happy to discuss at the conference. Ideal candidate has Ph.D. IF you email me pls make sure subject line says KDD. ** You must have permission to work in the US **
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Senior Machine Learning Engineer
Meta Qualifications - The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems - 6+ years of experience i... n software engineering or a relevant field - 3+ years of experience if you have a PhD 9 more items(s)
Responsibilities - You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams - You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web - Leading projects or small teams of people to help them unblock, advocating for ML excellence - Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) - Develop highly scalable recommendation systems 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
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Machine Learning Engineer（MLE）
Bytedance The Douyin Experience Team is responsible for user experience optimization for the whole video on demand and live streaming system. We are building intelligence and personalized e... nd-to-end multimedia systems to power the whole Douyin ecosystem.
We are currently seeking passionate machine learning engineers to join our team. In this role, you will collaborate with the product and engineering teams to identify opportunities and improve overall system performance and efficiency by integrating AI algorithms across the entire multimedia system.
About you： Your responsibilities will include designing service-side ML systems, implementing ML models, and validating their impact on the overall system through A/B testing.
- A master‘s or PhD degree in computer science, data science, Mathematics or a ML related field. - Experience with one of the fields: Causal Inference, Recommendation System, Online Advertising, Streaming, NLP(including LLM), CV, Optimization etc. - Available work locations: Beijing, Shanghai, Shenzhen
Tiktok E-commerce Recommendation - Research Scientist / MLE - All Levels
Bytedance E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-... commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.
Link:
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.
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Senior/Staff Applied Research Scientist
Apple Inc. As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machi... ne learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: Working on query understanding components such as intent classification, entity recognition, entity linking, etc. and analyzing query understanding issues and opportunities. Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies Understanding product requirements, translate them into modeling tasks and engineering tasks Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. Building end-to-end production system including query understanding and ranking to power search
Meta Research Scientist for the Model & Treatment Heterogeneity team at Meta NYC! The role is to do state-of-the-art research and build central tools for Heterogeneous Treatment Ef... fects estimation, as well as related uses of these models. Our team also works on ML Model Diagnosis and Improvement (particularly at the subsegment level).
Intuit In its intrapreneurial function, the AI Futures team develops and incubates emerging technologies, user experiences, capabilities and products that have the potential to be transf... ormative to businesses and consumers. The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit’s portfolio of fintech offerings and position Intuit as a global leader in AI to power prosperity around the world. In this role you will be advancing the state of the art in fundamentals of artificial intelligence. We are seeking candidates who are experts in generative AI (large language and multimodal models), fundamentals of deep learning and optimization, and passionate about areas such as neuro-symbolic AI, personalization and recommendation, theory and applications of large language models, and robustness and uncertainty quantification. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers’ needs, both current and future.
Qualifications
PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science or equivalent work experience
New grad/4+/7+ years of relevant work experience post PhD
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, KDD, ACL, ICLR, AAAI)
Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations
Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar
Past experience leading a research team and mentoring junior colleagues is a plus
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Fully funded PhD and Postdoc positions in AI/ML/Data mining
University of Maryland Baltimore County Multiple fully funded PhD and Postdoctoral positions in AI/ML/Data mining at University of Maryland Baltimore County. We are interested in candidates with a focus and interest in ... developing innovative AI/ML/ Federated learning technologies for climate and health sciences. Successful candidates will join a dynamic team and collaborate with multidisciplinary researchers from multiple universities to apply their skills to impactful projects in climate and health sciences. If you are interested in these exciting opportunities, please contact: Sanjay Purushotham at psanjay@umbc.edu for more details.
University of Bonn Data Science & Intelligent Systems research group (DSIS) at the University of Bonn, Germany is looking for a PostDoc in Machine Learning and Data Analytics
(Duratio... n: Two years, full-time, starting at the earliest date possible) The University of Bonn is a university of excellence and one of the leading universities in Germany.
The DSIS research group conducts research in spatio-temporal data analytics, machine learning, knowledge graphs, and various application areas, including mobility, security, and neuroscience. Furthermore, we address the usability, explainability, and traceability of data analysis.
Your responsibilities: You develop innovative solutions for real-world problems that require the analysis of very large spatio-temporal datasets. Your research activity is linked to work in the Attention!, MoToRes, Rushmore and iBehave projects. You contribute to teaching data science and machine learning. You contribute to acquiring third-party-funded projects. You are responsible for the project management and contribute to the doctoral candidate mentoring and student supervision.
Your profile: Ph.D. in computer science or related fields of study. Very good knowledge of one or more of the relevant areas. Practical experience with current machine learning libraries, data management systems, and distributed data processing. Very good written and spoken English. Good communication and team skills.
We offer: A varied and demanding job in a group of excellent scientists at one of the leading universities in Germany A salary pay-scale TV-L 13 Contract duration of two years, full-time Financial support to attend related conferences Very good transport links and numerous offers of university sports
If you are interested in this position, and would like to meet and discuss more during the KDD conference, please send an email to Prof. Dr. Elena Demidova, demidova@cs.uni-bonn.de.
The Trade Desk The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trill... ion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best workplaces globally.
Link:https://careers.thetradedesk.com/jobs/4417610007/senior-data-scientist-research-scientist-ai-labSee More >>
L4 Machine Learning Engineer for Recommendation Algorithm and Proactive AI
Google Hi all,
I am a hiring manager from Google Search. Our recommendation team has multiple job openings for L4 MLE.
There are 2 major scopes of the team:
- Recom... mendation algorithm design for our retrieval, ranking and user understanding stages
- Proactive AI: investigating opportunities of llm cross recommendation opportunities
We are hiring talents with strong background on recommendation system. It can be:
- PhD Ng with relevant research background - Talents with working experience in relevant domains
All the openings are L4(intermediate level) and need to work in hybrid mode in MTV.
Please feel free to ping me your LinkedIn or resume if you are interested in the opportunity.
Applied scientist at all levels (from entry to principal)
Amazon advertising We are hiring scientists and engineers at all levels across Seattle, Bay Area, New York in the US. Pls drop me a message if you are interested!
GenAI background is a big p... lus.
Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team’s 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!
Uber The Investment Modeling Team at Uber is at the forefront of driving the company‘s global incentive and pricing strategies across all pricing and incentive mechanisms and cities wo... rldwide! Encompassing both Mobility and Delivery businesses, we help Uber hit more aggressive growth and profitability targets while maintaining the overall health of the marketplace. We pursue this objective via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML) and Optimization techniques to learn from massive datasets Uber has, estimate the composite marketplace pricing and incentive impact under various conditions, and identify the optimal investment strategy!
To support and facilitate this work, we have also developed our in-house ML and optimization infrastructure, including data ETL, feature store, dev & viz tooling, model training, serving, storage and backtest solutions. We extensively use the latest technologies and libraries, such as HDFS, Spark, Ray, PyTorch, Horovod, Modin, etc, in our systems.
We are actively seeking individuals who excel in problem-solving and critical thinking, are proficient in coding, with proven track records of learning and growth, and have prior experience in ML model, feature, and infrastructure development.
Join us in our pursuit of excellence as we continue to shape the future of Uber’s global incentive and pricing strategies through innovative engineering and model-driven insights.
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
Uber The Investment Modeling Team at Uber is at the forefront of driving the company’s global incentive and pricing strategies across all pricing and incentive mechanisms and cities wo... rldwide! Encompassing both Mobility and Delivery businesses, we help Uber hit more aggressive growth and profitability targets while maintaining the overall health of the marketplace. We pursue this objective via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML) and Optimization techniques to learn from massive datasets Uber has, estimate the composite marketplace pricing and incentive impact under various conditions, and identify the optimal investment strategy!
To support and facilitate this work, we have also developed our in-house ML and optimization infrastructure, including data ETL, feature store, dev & viz tooling, model training, serving, storage and backtest solutions. We extensively use the latest technologies and libraries, such as HDFS, Spark, Ray, PyTorch, Horovod, Modin, etc, in our systems.
We are actively seeking individuals who excel in problem-solving and critical thinking, are proficient in coding, with proven track records of learning and growth, and have prior experience in ML model, feature, and infrastructure development.
Join us in our pursuit of excellence as we continue to shape the future of Uber’s global incentive and pricing strategies through innovative engineering and model-driven insights.
Resaro As AI adoption increases, the challenge in the next decade is to harness AI safely with the appropriate levels of technical capabilities, governance and assurance to build trust i... n these advanced algorithmic systems. Most enterprises do not have the capability to do this and we are a new AI assurance venture that provides services to test and validate AI systems for accuracy, robustness, explainability, fairness, privacy and security.
We are part of a mission-driven company dedicated to making AI safer for the world. We believe in the transformative potential of algorithmic decision-making, balanced by the need to manage risks deliberately. We partner with enterprises that have ambitious uses for AI and are serious about utilising it in a trustworthy manner.
Our team comprises first-principles, multi-disciplinary thinker-doers who believe in doing things right. We are thoughtful about technology and its potential pitfalls and are committed to systematically supporting businesses in building safe, effective, and impactful AI technology.
Link:www.resaro.aiSee More >>
Senior/Staff/Senior Staff Data Scientist
Intuit We are looking for a Data Scientist to join the AI Research team at Intuit. In this role you will be working on improving the performance of our latest algorithms through efficien... t code and algorithmic optimizations that will lead to successful tech transfers of the latest research innovations to products. We are looking for people with solid engineering skills, writing bug-free machine learning code, experience formulating and running experiments, and building the science behind the algorithms employed. We expect the data scientist to contribute to all steps of the research and development lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment in various capacities. As a data scientist on the team, you will interact with internal researchers, as well as our partners in the product teams to define, analyze, and implement highly optimized algorithms in generative AI, uncertainty quantification, reinforcement learning, recommendation systems, and natural language understanding. The scope of these efforts includes a combination of implementing new algorithms, performance tuning and analysis, integration and testing
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Variety of DS Roles Open at Capital One
Capital One We have a variety of roles open under the Card DMC (Data Models Credit) department in Capital One. Please click the links below for more information, and don’t hesitate to ask us ... questions if you see us or send an email (please put KDD in the subject)! We’re also hosting a lunch on Wed, come with any questions you have!
AWS In AWS Deep Science for Systems and Services org, we are currently looking for experts with a *track record* on optimizing foundation models for inference (i.e., system level opti... mization on inference engines like vLLM, AI accelerator programming, research on model compression techniques, experience with distributed training/inference of foundation models, ..). We interact closely with academic research community as well as product orgs.
Tsinghua University Shenzhen * Postdoctoral applicants must meet the basic requirements for postdoctoral recruitment at Tsinghua University
Engage in data analysis, programming, and research with the p... rimary goal of academic publication. The specific research areas include, but are not limited to:
• Financial Text Information Processing: Develop new text processing algorithms by analyzing terabytes of financial media and report data. • Micro-Firm Financial Theory Models: Innovate new PDE solution methods (continuous-time models) and dynamic programming (DP) simulation methods by expanding recent developments in micro-firm financial theory models. • Financial Networks: Construct high-dimensional matrices and dynamic networks by analyzing large-scale cash flow data, and optimize the corresponding algorithms. • Asset Pricing: Discover new asset pricing factors through the analysis of international financial asset data.
- 250,000 CNY/year +++ - Reimbursement for all reasonable domestic travel expenses. - Benefits according to Tsinghua Shenzhen Institute’s policies. - Additional benefits to be discussed during the interview.
Link:https://www.wangzigan.com/See More >>
Postdoc/RA/Staff in FinTech or Computer Science
Tsinghua University SEM - IIIF * Postdoctoral applicants must meet the basic requirements for postdoctoral recruitment at Tsinghua University
Engage in data analysis, programming, and research with the p... rimary goal of academic publication. The specific research areas include, but are not limited to:
• Financial Text Information Processing: Develop new text processing algorithms by analyzing terabytes of financial media and report data. • Micro-Firm Financial Theory Models: Innovate new PDE solution methods (continuous-time models) and dynamic programming (DP) simulation methods by expanding recent developments in micro-firm financial theory models. • Financial Networks: Construct high-dimensional matrices and dynamic networks by analyzing large-scale cash flow data, and optimize the corresponding algorithms. • Asset Pricing: Discover new asset pricing factors through the analysis of international financial asset data.
- 150,000 CNY - 250,000 CNY/year +++ - Reimbursement for all reasonable domestic travel expenses. - Additional benefits to be discussed during the interview.
Link:http://www.iiif.tsinghua.edu.cn/See More >>
Location: Amazon MENA (Middle East & North Africa)
Job Description:
We are seeking a highly skill... ed and innovative Applied Scientist / Machine Learning Engineer to join our Amazon MENA team. The successful candidate will work on cutting-edge projects aimed at developing and deploying advanced machine learning models, with a primary focus on Natural Language Processing (NLP) and Large Language Models (LLMs), to detect and prevent abuse across our platforms.
Key Responsibilities:
• Design, develop, and implement state-of-the-art machine learning models: You will leverage advanced techniques in supervised and unsupervised learning, deep learning, and natural language processing to build robust models capable of identifying patterns of abuse, fraud, and other malicious activities. • NLP and LLM Deployment: Utilize your expertise in NLP and LLMs to process and analyze large volumes of unstructured text data. You will be responsible for fine-tuning pre-trained models, such as GPT, BERT, or T5, and integrating them into scalable solutions that enhance our platform’s security measures. • Abuse Detection and Prevention: Develop algorithms and tools to detect and prevent various forms of abuse, including but not limited to fraudulent activities, account takeovers, spam, and content manipulation. Implement anomaly detection models and real-time monitoring systems to proactively mitigate risks. • Data Pipeline and Infrastructure: Collaborate with data engineers to build and maintain the data infrastructure necessary for large-scale machine learning projects. This includes ETL processes, data cleaning, feature engineering, and ensuring data quality. • Model Optimization and Scaling: Work on optimizing models for performance and scalability, including techniques like hyperparameter tuning, model compression, and distributed training using frameworks like TensorFlow, PyTorch, or Apache Spark.
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Tenure track Assistant Professor Opening at National University of Singapore, School of Public Health
eBay Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part ... of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team!
Link:https://jobs.ebayinc.com/us/en/job/R0063614/Senior-Machine-Learning-Engineer/?utm_source=whatsappSee More >>
Senior Applied Researcher, Personalization
eBay Minimum PhD +10 years industry experience conducting applied research into personalized recommendations at scale. Topics of interest include novel use embeddings, integrating impl... icit and explicit signals and feedback, user understanding & targeting, human interpretable user models, integrating user models into recommender systems, UI personalization, HCI research related to personalization.
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None
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Machine Learning Engineer II
Pinterest Impact & Mission. Join a team that works to implement a wide range of machine learning algorithms to deliver value for Pinners and Creators. Fast iterations. Prototype thro... ugh fast iteration to explore and demonstrate opportunities for all of Pinterest’s global Pinners and Creators. Collaboration. Integrate with many other internal engineering teams across Pinterest to support the end-to-end user journeys. Work in dynamic and diverse environments alongside engineering, products and designers. Evangelization across engineering to implement and adopt best practices to simplify our codebase and promote growth. Ownership. Take ownership of product quality and release processes to deliver high quality user experiences. Feature Development. Work across all parts of the stack and be flexible working with different technologies. Inspiration. Research the most novel approaches by reading state-of-the-art articles, analyzing open source repositories and discussing with the team. Efficiency. Optimize performance and cost efficiency by using the most advanced techniques. Team. Working on improving current deep learning technologies, for example, object detection, classification, segmentation, visual similarity, data pipelines and some novel technologies in the area of generative AI.
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Sr Machine Learning Engineer, Inclusive/Fairness AI
Pinterest Inc The Inclusive AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine lea... rning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have top line metrics impact. At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration starts with inclusion. The Inclusive AI team is a horizontal team that works across the company on both ML Fairness, GenAI safety, and user facing features which make our product more inclusive so we can better serve our diverse user base. This includes our launches of groundbreaking features such as user controllable skin tone and hair pattern search refinements and more recently body type. All of those features are powered by work coming from the Inclusive AI team and more about that can be found here: [1, 2]. We are looking for a Sr. ML Engineer to join our Inclusive AI team, where you will drive cross-team engineering efforts in the Responsible AI / ML Fairness space.
Link:https://www.pinterestcareers.com/jobs/6199603/sr-machine-learning-engineer-inclusive-responsible-ai/?gh_jid=6199603See More >>
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across ... Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keep up with industry trends in recommendation systems Leverage LLMs to enhance content understanding What we’re looking for:
2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) Degree in computer science, statistics, or related field End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
Link:https://www.pinterestcareers.com/jobs/6121551/sr-machine-learning-engineer-monetization-engineering/?gh_jid=6121551See More >>
Sr. Data Scientist, Core
Pinterest What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring ... everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we’re looking for:
5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
Link:https://www.pinterestcareers.com/jobs/6087213/sr-data-scientist-core/See More >>
Staff Data Scientist, Machine Learning Platform
Pinterest What you’ll do:
Drive the roadmap to decide which innovative solutions to optimize the efficiency, scalability, and reliability of the machine learning platform should be p... rioritized.
Collaborate with machine learning engineers to identify pain points and challenges in the development and deployment of ML models, cross-reference those pain points with the state-of-the-art literature, and generalize these improvements to be leveraged by all ML teams at Pinterest.
Analyze and evaluate the performance of existing machine learning models, identifying areas for improvement in preparation to work side-by-side with MLEs to make it part of their workflow.
Lead collaboration with cross-functional teams to gather requirements, align on project goals, and drive the implementation of new features and enhancements to the machine learning platform.
Help build a high-performance culture in team, where the team will bridge the gap between data science and ML engineering, leveraging data and prototyping solutions with production quality code.
Leverage our extensive and valuable metadata set to generate innovative suggestions and strategies, identifying efficient shortcuts to evaluate hypotheses and assess the potential of ideas.
What we’re looking for:
Seasoned professional with over 5 years of extensive hands-on experience in roles such as data scientist, applied scientist, software engineer, or ML engineer within the realm of machine learning.
A proven track record of designing and implementing highly intricate machine learning models, with a focus on optimizing performance on vast and complex datasets.
Deep expertise and proficiency in ML ops, exemplified by successful implementation of impactful solutions to streamline operations and enhance productivity for engineering teams at a broader organizational level.
The Trade Desk The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trill... ion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best workplaces globally.
Link:https://careers.thetradedesk.com/jobs/4417610007/senior-data-scientist-research-scientist-ai-labSee More >>
Staff Machine Learning Engineer, Applied Science
Pinterest Inc What you’ll do:
Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
Collect, analyze, and s... ynthesize findings from data and build intelligent data-driven model
Write clean, efficient, and sustainable code
Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
Scope and independently solve moderately complex problems
What we’re looking for:
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
6+ years of industry experience
Experience in machine learning/information retrieval
Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Cross-functional collaborator and strong communicator
Comfortable solving ambiguous problems and adapting to a dynamic environment
Pinterest Inc. Sr Staff ML Engineer, Inclusive AI What you'll do:
Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applicat... ions at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.
What we're looking for:
Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
Internship - Research engineer for data science and machine learning
Sony Group Corporation Position Summary: 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
Responsibilities: ■ Research and develop machine learning algorithms ■ Propose novel customer value using machine learning and data science techniques ■ Design and develop prototype applications with development partners ■ Work closely with business divisions including entertainment, financial, and electronics domain in the Sony group ■ Publish research papers about these activities
Amazon At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Experience Science (SPeXSci) delivers on this by building AI-enhanced experiences, opti... mization, and automation that help third-party sellers build more successful businesses. This includes recommendations that drive growth and AI-enhanced assistance for troubleshooting issues. There are many challenges that we confront caused by the volume, diversity, and complexity of our Selling Partners’ needs… and we are always striving to do better.
Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative AI? The SPeXSci Team is looking for an Applied Scientist to build Machine Learning and Generative AI solutions that help us create the next generation of the tools that empower Amazon’s Selling Partners to succeed. In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, product owners, UX design and operations teams to build AI-powered high-quality, trustworthy, and personalized Selling Partner experiences.
Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon’s Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.
Link:https://www.amazon.jobs/en/jobs/2701545/applied-scientist-selling-partner-experience-scienceSee More >>
Senior/ Responsible AI Scientist (Language Models)
Resaro We are looking for a senior data scientist with experience in deep learning based language models to work with a category-defining AI assurance venture that will help companies te... st and audit their AI systems. You will help evaluate and stress-test AI models to make sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.
YOU WILL ● Perform technical AI evaluations, benchmarking and “red-team” tests on large language models, including assessing them for robustness in performance, embedded biases, vulnerability to jailbreaks and prompt injection attacks. ● Work with the product management team to develop a suite of technical and analytical AI evaluation frameworks and tools that are backed by scientific research and methods. These should assess the robustness, explainability, fairness, privacy, safety and security of AI and machine learning systems, with a strong focus on large language models.
YOU HAVE ● Extensive experience as a data scientist training or deploying deep learning based natural language models/large language models in real-world contexts. About 5-6 years of working experience or a relevant postgraduate degree with 1-2 years of working experience. ● Familiarity with NLP evaluation approaches, preferably with a deep understanding of the failure modes of LLMs including robustness, jailbreaks, embedded biases and possible alignment problems. ● Ability to be independent productive working with Python-based notebooks and to execute on basic data engineering and visualisation tasks (eg. SQL, using StreamLit to build visualisations). ● Passion and interest in applied research on the safe and responsible use of AI and with large language models.
I’m a hiring manager from Google Search Discover Core Modeling team. My team is responsible for developing the core modeling, core ranking, and reranking platforms ... for Google Feed. We offer a supportive and collaborative work environment.
We have multiple opening headcounts and looking for talented candidates who are passionate about applied machine learning and large-scale real world recommendation system problems. Relevant industry or Phd experience is a plus.
The target hiring level is L4 (intermediate level). Please feel free to reach out to me with your resume or LinkedIn if you’re interested. (If you’re a strong candidate and looking for other levels, please feel free to reach out too and note it in the email or message. )
Agency for Science Technology and Research Invite potential PhD students to apply for the following position: 1. Foundation models for Time-Series data 2. Learning from streaming data with dynamically evolving dist... ributions
These will involve access to interesting real-world air transport IoT datasets and healthcare datasets. Interested candidates can send me a private message and we can meet up. I'm available tomorrow
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PhD internships in Singapore (fully funded)
Agency for Science Technology and Research If you are a PHD student with a good publication record in a good university, you can spend upto 2 years (fully funded through the ARAP scholarship) at A*STAR. Please feel free to... reach out if you are interested in the following topics: 1. Analysis of irregularly sampled Time-Series data 2. Learning from less Time-Series d 3. Foundation models for Time-Series data 4. Learning from streaming data with dynamically evolving distributions
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ASOS is a destination for fashion-loving 20-somethings all around the world. Available in nine languages and in over 200 markets, ASOS customers can shop a curate... d edit of nearly 50,000 products, sourced from nearly 900 global and local third-party brands. As an online only retailer, we have unique datasets - transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products. These datasets represent artefacts of fashion culture in the real world, and we want to leverage these signals to build AI products for fashion intelligence.
The Pricing and Discount Targeting AI team develops machine learning systems for pricing and incentivization. We are seeking a research-oriented scientist to focus on multimodal content understanding. Your work will enhance our understanding of how customers perceive products and make decisions within the context of fashion. You will be part of a cross-functional team of scientists and engineers, leading a research project directly relevant to our scientific workstreams. Additionally, you may consult with other AI teams specializing in machine learning for discovery and demand forecasting.
Responsibilities
- Conduct machine learning research into the topic of multi-modal content understanding in fashion - Bring domain expertise around representation learning, computer vision and text processing - Keeping up with relevant state-of-the-art research, taking part in reading groups alongside other scientists - There will also be an opportunity to publish novel research at machine learning conferences
Link:https://forms.gle/zt3muR7YjkZcBXZVASee More >>
Postdoc position on Uncertainty in Machine Learning at the University of Tartu
University of Tartu Postdoc position on Uncertainty in Machine Learning at the University of Tartu, in the ML group led by Meelis Kull. There is flexibility in choosing which of our several ongoing a... nd starting projects to work on. The group focuses on uncertainty in ML and more broadly on methods for trustworthy AI.
Link:https://ml.cs.ut.ee/postdoc-positions-available/See More >>
Senior Data Scientist
TSMC Technology, Inc. Overview of Role Taiwan Semiconductor Manufacturing Company (TSMC) is seeking applications for skilled Senior AI, Machine Learning, and Data Scientists for their Artificial Int... elligence for Business Intelligence (AI4BI) Center. The AI4BI Center is a global and international team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. This role will be based in our San Jose office in a hybrid working environment (working three days in the office). Individuals in this position will be responsible for designing and implementing significant machine learning, deep learning, text mining, Large Language Model (LLM), and/or network science-based approaches to extract insights from structured (e.g., transactional) and unstructured data sources (e.g., 10K reports, social media posts, news) for various BI applications. This role requires close interaction and coordination with international teams of junior data scientists, data engineers, and business stakeholders to gather requirements, oversee development, evaluate the outputs of technical solutions, produce internal reports, and lead co-authored publications at top-tier AI venues.
Link:https://ro.careers.tsmc.com/job/San-Jose-Senior-Data-Scientist%285329%29-CA-95101/949018410/?feedId=348210&utm_source=LinkedInJobPostings&utm_medium=jobboard&utm_source=linkedinSee More >>
Data Scientist
TSMC Technology, Inc. Overview of Role Taiwan Semiconductor Manufacturing Company (TSMC) is seeking applications for skilled junior AI, Machine Learning, and Data Scientists for their Artificial Int... elligence for Business Intelligence (AI4BI) Center. Applicants should have graduated with a Ph.D. in the past 1-2 years with a degree in computer science, information systems, information science, statistics, or related AI or machine learning field. The AI4BI Center is a global and international team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. This role will be based in our San Jose office in a hybrid working environment (working three days in the office). Individuals in this position will be responsible for designing and implementing significant machine learning, deep learning, text mining, Large Language Model (LLM), and/or network science-based approaches to extract insights from structured (e.g., transactional) and unstructured data sources (e.g., 10K reports, social media posts, news) for various BI applications. This role requires close interaction and coordination with international teams of senior data scientists, other junior data scientists, data engineers and business stakeholders to gather requirements, oversee development, evaluate the outputs of technical solutions, produce internal reports, and co-author publications at top-tier AI venues.
Link:https://ro.careers.tsmc.com/job/San-Jose-Data-Scientist-%285400%29-CA-95101/949105510/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organicSee More >>
Adyen Adyen is looking for a Senior Machine Learning Scientist to join our team in Amsterdam, a person sitting at the cornerstone of algorithms, mathematics, and engineering, who can so... lve problems by designing and implementing production-ready machine learning solutions. You will be responsible for building, developing and deploying algorithms that power data products at Adyen.
* Research, design, implement, train, deploy and monitor machine learning algorithms, either for batch prediction or real-time. Examples are: Anti-Money Laundering (AML) systems, real-time anomaly detection based on time-series modeling, on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis and representation learning for behavior prediction and monitoring. * Develop orchestrated pipelines for analytical purposes and machine learning training. * Contribute to ongoing automation efforts for our experiments, training runs, validation runs and monitoring before, during and after deployment. Furthermore, collaborate with MLOps to improve our machine learning tooling. * Create and iterate on state of the art machine learning algorithms with both merchant and product audiences. * Stay up-to-date with the latest research and developments in the machine learning field, and apply this where applicable
xAI Building petabyte-scale, high-throughput data processing systems. Managing workloads across large cloud compute clusters. Pre-processing datasets for AI training.
Ide... al Experiences
1. Strong engineering skills with passion to improve different aspects of data and model. Has worked on one or more modalities other than text and demonstrated exceptional work. Building bespoke data processing libraries from scratch. 2. Designing and implementing distributed systems in Rust. 3. Keeping up with state-of-the-art techniques for preparing AI training data. 4. Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
Link:https://boards.greenhouse.io/xai/jobs/4378348007See More >>
AI Engineer & Researcher - Human Data
xAI xAI’s Human Data team is responsible for delivering high-quality data to drive frontier model performance. We collaborate closely with the post-training team and AI tutor team to ... develop new solutions that accelerate research progress across model capabilities, evaluation, safety, and alignment.
About the Role In this role you might:
Build features end-to-end: front-end, back-end, system design, debugging and testing Build systems that monitor and flag quality issues with large-scale data collections. Help drive high-priority data collection projects for our team. Understand training and eval data needs across xAI to improve our platform, and help develop our technical roadmap and prioritization Create innovative human and synthetic data generation methods and pipelines. Ensure that our overall data collection platform is secure, scalable, and delightful to use. Innovating new ideas that bring us closer to our goal: to develop AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Exceptional candidates may have:
Experience delivering high-quality web applications in rapidly changing environments - as a tech lead, former founder, etc. Experience collaborating in highly cross-functional environments Experience in connecting machine learning model behavior to data distribution and data quality. Experience in fine-tuning large language models.
Link:https://boards.greenhouse.io/xai/jobs/4442451007See More >>
Applied Scientist, AWS Sales Science & Economics
Amazon Web Services Hi all, I am hiring for an Applied Scientist (junior to intermediate level) to join my team in Amazon Web Services, part of our Applied Data Science Labs. The team uses machine le... arning, econometrics, and data science to optimize AWS’s service catalogue, driving customer engagement and generating insights to guide AWS sales strategy. We use detailed customer behavioral and usage data to predict and understand what customers want from AWS.
The position can be based in Luxembourg (Europe) or in the US (Arlington, NYC). Feel free to reach out with your resume to tawsj@amazon.lu or ping me here!
Key job responsibilities The ideal candidate will be curious and able to learn new technologies quickly. You will have hands-on experience building data science and machine learning pipelines in production working with large scale data sets. You publish the results of your research at top-tier peer-reviewed conferences or journals. You are passionate about sharing your knowledge to enable others. You empathize with the needs of our customers and align your work accordingly, and provide thought leadership and guidance across the organization.
A day in the life As an Applied Scientist, you will apply the latest research, state of the art algorithms and machine learning to build highly scalable models in support of predictive research and analytics. You will be responsible for designing and executing data science experiments in short and agile cycles. You will use the latest AWS technologies in Machine Learning, Data Science, and GenAI. You will work closely with business leaders to identify opportunities to drive business growth by applying machine learning and building out predictive models to support analytics and insights.
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Engineering Manager, Data Platform
Adyen This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial tec... hnology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Engineering Manager, Data Platform Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering; Data Platform Engineers build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. Along with DataOps Engineers, they develop and operate multiple big data platforms, across multiple data centers, which cumulatively cover 1000+ nodes, 60k+ CPU cores, 800+ TBs of RAM, and 50+ PBs of storage capacity. As an Engineering Manager you’ll be tasked with leading and managing a team of Data Platform Engineers to build, maintain, and iterate on frameworks and tools
Link:https://careers.adyen.com/es_ES/vacancies/5049930-engineering-manager-data-platformSee More >>
Senior Machine Learning Engineer, Google AR
Google The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experience... s. We’re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.
Link:https://www.google.com/about/careers/applications/jobs/results/101907450520576710See More >>
PhD internship in recommendation systems
Meta The Central Applied Science team at Meta is looking for a summer 2025 intern. We are interested in understanding better how recommendation systems work and automatically identifyi... ng opportunities to improve them, with a focus on identifying under performing data segments. If you have experience in any of these topics (or related topics), please reach out: 1. Benchmarking and evaluating recommendation systems 2. Calibration, multi calibration and bias in recommendation systems 3. Automatic feature engineering 4. Offline proxies for online metrics 5. Optimizing multi stage recommendation systems
Link:
None
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Principal Machine Learning Engineer
Microsoft What we do: We are a research team of dedicated and innovative experts specializing in machine learning and artificial intelligence research for cybersecurity. We stand at the for... efront of revolutionizing cybersecurity solutions in a rapidly evolving digital landscape where cyber threats persistently challenge the boundaries of security. Come and work with a team of world-class researchers and engineers who are passionate about advancing the state-of-the-art in cybersecurity and creating impactful solutions for customers. Help us build a culture of learning, growth, and inclusion, where everyone thrives and makes a difference in the security domain
* Prior experience in AI product development is preferred • Prior experience with LLM/NLP is preferred • Strong technical skills and knowledge in large language model, deep learning, transformer models, data engineering, cloud stack technologies, information fusion, large-scale machine learning models. • Experience in working with cross-functional teams, such as product managers, designers, researchers, engineers, and stakeholders, with strong communication, collaboration, and leadership skills, for translating research into a production service. • Ability to work effectively in a collaborative and fast-paced environment, and to adapt to changing priorities and feedback • Ability to deal with ambiguity at work; identify research areas independently; shape the direction of research to product in a practical way *Master’s Degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or related field AND 5+ year(s) related industry experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Artificial Intelligence, Mathematics, Physics, or related field AND 4+ years related industry experience
Link:
None
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加入团队，你将有机会 参加富有挑战性项目和培养全球视野 2024 年，Ads Core 负责许多商业化部门关键项目。在这些项目中，你会有机会通过复杂项目的设计、管理和落地来学习和成长。此外，还可以体验我们如何在全球市场取得成功 接触优秀的团队 该团队由不同市场和经历的同学组成，大家将知识、技能和想法带到了世界各地。更重要的是，这个团队氛围开放、接地气、支持性强、不断追求更高的目标 大量的发展机会 我们的业务和团队仍在不断扩大。与此同时，你将面临许多挑战，这些挑战也会让你快速成长去探索新的事情。你永远不会担心是否有学习机会，有Leader和Mentor将全力支持你的职业发展 邮件详询更多Ads Core工作岗位机会,请联系: Emma Huo - emma.huo@bytedance.com(海外) Kai Li - likai.michael@bytedance.com (中国)
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TikTok Global Ads Core Team
bytedance We are the Ads Core Team from TikTok Global Monetization Technology. Within the global monetization and advertising landscape, we are responsible for generating over 95% of TikTok... 's revenues through advanced machine learning technology and delivering optimal user experience solutions. Mission: our team's mission is to create automatic delivery products for the next generation and to develop advertising as a business instead of just a monetization tool and to consolidating the delivery funnel framework allowing multiple teams to iterate parallel. Team Setting global team; team members across SF Bay area, Beijing, and Shanghai Core Technologies ML/DL/RL Algorithms Feature Engineering Strategy Design Ability LLM Application in Advertising/Recommendation/Search Scaling Law in Ads Recommender System Prominent Focuses - Iterate bidding and budget algorithms to sort out the best matching traffic as aspect of advertiser - Develop ad delivery capability as a tool for doing business with joint effort of recommendation optimization - Optimize the delivery efficiency of automatic delivery products, aiming to increase the penetration rate and lift compared to manual delivery - Establish a robust, flexible and fair framework for multiple teams to parallelly iterate related models in the delivery funnel What You Can Expect Great Team We're diverse and celebrate differences. We are open, grounded, supportive and aim for the highest Challenging Projects on a Global Scale You will gain valuable experience and develop your skills through designing, managing, and implementing complex projects, while witnessing how we achieve success in the global market Abundant Career Advancement Opportunities We grow together and embrace challenges. You will witness your own development each day, supported by leaders and peers, as you strive for excellence To access more Ads Core openings, please contact Emma Huo - emma.huo@bytedance.com (U.S.) Kai Li - likai.michael@bytedance.com (China)
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Bloomberg LP Bloomberg Law/Tax/Gov is changing the industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers! Ou... r goal is to become an indispensable tool for professionals in different fields by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.
We are seeking a Search Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning development, coupled with a passion for Search & Personalization. You will work with us on building solutions that will power the core search experience, AI chatbot and personalized user experience on our platforms.
We’ll trust you to: - Research advanced ML & NLP topics and apply them to our problems. - Train and evaluate search models and architectures - Drive, design & develop ML projects as the principal point-of-contact - Collaborate with domain experts and product managers to understand business needs and map business problems to ML Problems
You'll need to have: - 4+ years of experience with Python and/or an object-oriented programming language such as Java or C++ - Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Information Retrieval (IR), Recommendation Systems, or Reinforcement Learning on large data sets - Master’s or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
We'd love to see: - A track record of authoring publications in top conferences and journals - Proficiency in Machine Learning (ML) toolkits and platforms such as PyTorch, Hugging Face, JAX or scikit-learn. - Interest in law, tax or government affairs. - Familiarity with SOLR, Elastic Search
Link:https://bloomberg.avature.net/careers/JobDetail?jobId=4566#See More >>
Machine Learning Engineer
Bloomberg LP Bloomberg Law/Tax/Gov is changing the industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers! Ou... r goal is to become an indispensable tool for legal, tax and government professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.
We’ll trust you to: - Research advanced ML & NLP topics and apply them to our problems. - Develop tailored ML/AI prediction models for legal, tax and government domains - Use metrics to make data-driven decisions - Write and maintain production-quality code - Drive, design & develop ML projects as the principal point-of-contact - Collaborate with domain experts and product managers to understand business needs and map business problems to ML Problems - Collaborate with AI platform engineers on model maintenance and rollout - Manage stakeholders’ expectations throughout the project on model development and release
You'll need to have: - 4+ years of experience with an object-oriented programming language such as Java or Python - Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets - Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance - Master’s or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
We’d love to see: - A track record of authoring publications in top conferences and journals - Proficiency in Machine Learning (ML) toolkits and platforms such as PyTorch, Hugging Face, JAX or scikit-learn. - Interest in law, tax or government affairs. - Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker)
Link:https://bloomberg.avature.net/careers/JobDetail?jobId=6002#See More >>
Researcher in Large Language Models and Generative AI
Kempelen Institute of Intelligent Technologies, https://kinit.sk Are you eager to shape the future of large language models (LLMs) and generative AI? Would you like to work on groundbreaking research that addresses real-world needs? Join our dy... namic team at KInIT, and let’s innovate together!
We are excited to discuss how we can support your career aspirations and look forward to hearing from you.
Your responsibilities will include: engaging in both basic and applied research projects aimed at advancing the state of the art in LLMs, developing and evaluating new methods and approaches, designing and conducting experiments, formulating data collection and annotation strategies, etc., translating cutting-edge research into real-world applications, in close collaboration with our research engineers, working on grant-supported and commercial initiatives with top-tier international research institutions and industry leaders, publishing your findings in high-impact journals and presenting at prestigious international conferences.
Coupang We are looking for a recent PhD graduate with strong research background and publication record in CV or NLP. You will work on interesting entity extraction problems with text an... d image data from one of the largest e-commerce sites in Asia.
Link:
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Staff MLE - Feed AI
ShareChat What You’ll Do? Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading effor... ts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains.
You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace.
Who are you? Design and help develop systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders
Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine Learning algorithms Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 5+ years of experience
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Staff MLE - Feed AI
ShareChat What You’ll Do? Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading effort... s across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains.
You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace.
Who are you? Design and help develop systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders
Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine Learning algorithms Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 5+ years of experience
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Postdoctoral Associate
The Singapore-MIT Alliance for Research and Technology (SMART) Postdoctoral Associate in artificial intelligence and smart cities. The Singapore-MIT Alliance for Research and Technology (SMART) team is currently hiring a postdoctoral asso... ciate in artificial intelligence and smart cities to join us in Spring 2025. The SMART team is led by distinguished scholars from MIT, NUS, and other leading universities. For further details, please check the following links: SMART application link: https://portal.smart.mit.edu/careers/career-opportunities/job-application?job=556&job_cat=Job; MIT Urban Mobility Lab: https://mobility.mit.edu/openings Link:
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software engineer
Causal Foundry stack: Golang, Postgres, Kubernetes, Good with linux and command line & terminal, experience with cloud services (azure, gcp, aws)
University of Bergen About the project/work tasks:
Advancements in data-driven models across various fields such as education (learning analytics and Artificial Intelligence in Education) and h... ealthcare have been fuelled by a breadth of large datasets. However, the growing demand for large volumes of data comes with significant challenges, with privacy concerns being among the most critical. Traditional methods such as anonymisation and de-identification have become increasingly vulnerable to attacks, which increases the risk of personal information exposure. In response, synthetic data is emerging as a promising and novel solution providing scientists and researchers with an alternative to real data without compromising privacy or exposing sensitive information.
You will participate in the ASPIRE project (Accelerating Privacy and Data Protection Measures Using Synthetic Data Generation), which aims to develop novel methods for privacy and data protection by leveraging Artificial Intelligence in synthetic data generation. ASPIRE seeks to contribute to a trustworthy framework for secure data exchange and ASPIRE outcomes expect to impact education, healthcare, and artificial intelligence research.
Synthetic data generation is a key driver for the PhD position. You, together with the ASPIRE team, is expected to offer novel perspectives on proposing rigorous privacy guarantees by integrating differential privacy and federated learning with synthetic data. Additionally, an evaluation of the utility of synthetic data to ensure that it remains functional while adding an extra layer of data protection will be carried out.
Link:https://www.jobbnorge.no/en/available-jobs/job/269721/phd-position-in-artificial-intelligence-synthetic-data-generationSee More >>
