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Jobs Posted on the Whova Community Board of 40th International Conference on Machine Learning

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PhD/PostDoc in ML and Security
University of Chicago
I am looking for 2-3 PhD students to start in Fall 2024. I am especially interested in working with self-motivated students who (1) have previously worked in Security or Software Engineering; (2) have experience with Program Analysis or Reverse Engineering; or (3) have a solid background or strong interest in Machine Learning. Drop me an email if you are interested in working with me.
Link: None
PhD in ML and Systems
Purdue University
I am looking for 2-3 self-motivated PhD students to start in Fall 2023/2024. My research focuses on the intersection of machine learning and computer systems, especially co-designing machine learning and systems approaches that enhance computer system performance, energy eneficiency, and environmental impact. Drop me a message or email if you are interested in working with me. My webpage: https://y-ding.github.io/
Link: y-ding.github.io
Talking Head Synthesis/Speech Synthesis Research Scientist
TikTok
[About The Team]
Speech & Audio (SA) team provides industry-leading ML algorithm capabilities and complete voice product solutions for all business lines, including B2B as well. We empower businesses in the fields of speech/song synthesis, audio understanding, ML education, etc., and solve basic problems such as audio and video content understanding and creation, and human-computer voice interaction.

[Responsibilities]
Research on
- Basic generative models
- High-quality and expressive text-to-speech models
- Speech-driven talking face generation and human pose generation

Link: https://job.toutiao.com/s/is6HFCN
Postdoctoral fellow
University of Texas Southwestern Medical Center
If you are interested in AI for biology, consider joining our team! My lab works at the intersection between machine learning and genomics.
Link: zhoulab.io
Foundation Model Research Scientist
The Boston Dynamics AI Institute
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Foundation Model Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Cognitive AI, Foundation Models, Large Language Models, and Distributed Training. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!

Responsibilities

Develop deep learning-based approaches to improve and advance large language models (LLMs) and large multi-modal models.
Design and implement machine learning techniques to adapt foundation models to downstream tasks of interest such as robotic manipulation and high-level task planning.
Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.
Work closely with our research teams to build state-of-the-art robotics demonstrations of your research.

Candidates who lack these should not be discouraged from applying.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Link: https://jobs.lever.co/bostondynamicsaiinstitute/13253cba-026a-4061-a9cf-6f79312fbdb0
Artificial Intelligence Researcher - Computer Vision
MIT Lincoln Laboratory
The Artificial Intelligence Technology and Systems Group is seeking a candidate with experience in the areas of computer vision and multimedia to work with our team on research, technology development and transfer, and applications in end-to-end artificial-intelligence systems. Some of the group’s computer vision research and development (R&D) efforts include face recognition, object detection, image generation and manipulation, content authentication, model visualization, adversarial learning, and video understanding.

- Conduct research and development in artificial intelligence/machine learning with application to multimedia
- Develop and evaluate technology for content extraction in image and video data
- Prior experience with deep learning architectures and related libraries (PyTorch, Tensorflow, etc.) is highly desired
- Support the deployment of multimedia processing systems across the US Government
- Interact with government sponsors in support of developing new areas of research and fulfillment of future needs
Link: https://careers.ll.mit.edu/job/Lexington-Artificial-Intelligence-Researcher-%28R&D%29-Computer-Vision-MA-02420/895168900/
ML engineer/AI researcher
Ontact Health Inc.
Ultrasound Imaging(Medical)
Prediction algorithm(Medical and Health BD)
Link: https://www.ontacthealth.com
PhD student (ML for healthcare) in Hawaii
University of Hawaii
Obtain a PhD in Computer Science with aloha at the University of Hawaii. Happy to chat at the conference, just send me a message.
Link: hawaiidigitalhealthlab.com
PhD Student in Trustworthy ML with Knowledge Reasoning
TU Delft
Please see the link for the description.
Link: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=4669&nPostingTargetId=13372&id=QEZFK026203F3VBQBLO6G68W9&LG=UK&languageSelect=UK&mask=external
postdoc researcher at EPFL - ML theory
EPFL
Hello everyone! The Laboratory for Information and Inference Systems (LIONS) by Prof. Volkan Cevher at EPFL is looking for postdoctoral fellows with a strong theory background in machine learning, e.g., deep learning theory. Other related areas, e.g., optimization, reinforcement learning theory, information theory, statistics are also welcome.

feel free to chat with me (Fanghui Liu, a postdoc researcher at LIONS) at ICML or contact the LIONS Lab Administrator: Gosia Baltaian (gosia.baltaian@epfl.ch)
Link: https://www.epfl.ch/labs/lions/
Machine Learning Engineer
Gensyn
Responsibilities
👉 Build the Gensyn SDK - design and create user-facing frameworks to enable friction-less access to the Gensyn network
👉 Build execution frameworks - design and create low-level, containerised execution frameworks to train models on remote hardware
👉 Implement novel research - build out newly proposed model distribution methods and low-level primitives to train huge models over a completely new infrastructure
👉 Follow best practices - build in the open with a keen focus on designing, testing, and documenting your code
👉 Write & engage - contribute to technical reports/papers describing the system and discuss with the community

Minimum requirements
✅ Framework development - experience working on frameworks themselves (e.g. PyTorch, TensorFlow, JAX, etc..) rather than just using them
✅ Open source work - experience working with large open source codebases (ideally as maintainer)
✅ Infrastructure experience - previously provisioned and/or configured large-scale infrastructure for ML training tasks
✅ Appreciation for dev experience - strong opinions on the developer experience around existing ML tools and frameworks and how this can be improved
✅ Huge-scale model training - previously trained enormous distributed models (e.g. LLMs) over distributed infrastructure
✅ Background in relevant theory - i.e. computer science, machine learning, algorithms, distributed systems
✅ Strong willingness to learn Rust - as a Rust by default company, we require that everyone learns Rust so that they have context/can work across the entire codebase.

Nice to haves
🔥 Rust experience - systems level programming experience in Rust
🔥 Compiler-level experience - previously worked at the lower levels of the ML stack - on compilers or hardware implementation
🔥 Quantisation / constrained optimisation - previously worked on overcoming bottlenecks in ML training from hardware or communication constraints
Link: https://www.gensyn.ai/jobs
Machine Learning GPU Engineer
Gensyn
Responsibilities
👉 Research novel ML verification - work with determinism, game theory, optimisation theory, and more to design low-redundancy ML verification mechanisms; with a focus on making certain results reproducible across heterogenous hardware
👉 Work with cutting-edge ML frameworks - fork and modify existing ML frameworks and low-level libraries (e.g. CUDA, OpenCL) to build a new way of performing ML computations
👉 Build the offchain runtime - implement newly proposed techniques for the above in constrained environments in production code for use by ML researchers, engineers, and academics globally
👉 Write & engage - contribute to technical reports/papers describing the system and discuss with the community

Minimum requirements
✅ Background in relevant theory - i.e. computer science, machine learning, algorithms, distributed systems
✅ Deep understanding of computational bottlenecks - experience working with low-level computer science principles (e.g. determinism vs non-determinism, floating point implementations, efficient data structures etc..)
✅ Passion for decentralisation - an understanding of web3 technologies and decentralised principles
✅ Low-level HW experience - Have worked directly on/with ML hardware (GPUs, TPUs, IPUs, etc..)

Nice to haves
🔥 Rust experience - systems level programming experience in Rust
🔥 Cryptography experience - previous research or engineering experience working directly with cryptographic primitives
🔥 Experience with lower level compiler / toolchain tech - Have worked with intermediate representations, ideally focussed on machine learning and graph-based computations
Link: https://www.gensyn.ai/jobs
Machine Learning Researcher
Gensyn
(We don't have a live role on the site for this so it's super secret but we're actively hiring - just apply for the Anything Else role and mention ICML)

You'll work on cutting-edge research to train enormous-scale NNs over heterogeneous & untrusted hardware.

Incredibly high autonomy environment with low/no hierarchy and open source work.
Link: https://www.gensyn.ai/jobs
Assistant Professor in AI in Hawaii
University of Hawaii at Manoa
A tenure-track assistant professor search in AI/ML will open soon for a position in the department of computer science at the University of Hawaii at Manoa (10 minutes away from ICML). If you like what you see this week, let me know if you want to meet and chat about this position. UH Manoa is the only R1 university in Hawaii and we are massively expanding our AI and data science efforts. This is not an official posting but I am on the search committee.

Find Peter Sadowski (psadow@hawaii.edu) and Peter Washington (pyw@hawaii.edu) at ICML and say aloha!

Mahalo!
Link: https://www.ics.hawaii.edu
AI and robotics in Ag
University of Arkansas
I am looking for multiple self motivated graduate students who have interests in developing reliable and efficient ML and autonomous systems for agricultural applications.
Link: None
Post-doc in RL theory
Universitat Pompeu Fabra
Hi! My advisor (Gergely Neu, based in Barcelona) is looking for a post-doc to work on RL/learning theory. Check out the link for more information or feel free to reach out to me directly :)
Link: https://cs.bme.hu/~gergo/jobs.html
Postdoctoral Fellows and Instructor/Asisstant Prof. of AI in Healthcare
Massachusetts General Hospital, Harvard Medical School
Work collaboratively with a team of physicians, clinical researchers, mathematician, computer scientists, and engineers to solve important medical problems in a world-class research facility. Massachusetts General Hospital (MGH), Harvard Medical School (HMS) is the top-ranked research hospital in the United States. We have advanced computing facilities, access to a wealth of high quality medical imaging, pathologic, genomic, electronic health data and other medical data, and we understand key problems in medicine. The Center for Advanced Medical Computing and Analysis (CAMCA) is a cross-functional, cross-institutional group of clinicians, researchers, data scientists, product development and translational experts. Our vision is to build a smart healthcare delivery system through the creation of an ever-learning and ever-changing set of machine learning-based tools and services. Our goal is to develop and deploy applications to empower clinicians and enhance outcomes.
The research fellow will work closely with the team to develop and implement machine learning based method to solve various clinical problems. The candidate will be expected to pro-actively develop his/her research interests in the area. Candidates who seek a long-term academic career will have tremendous opportunities to grow.
Link: http://camca.mgh.harvard.edu
Faculty Position in Computational Pathology, Department of Pathology and Laboratory Medicine
Memorial Sloan Kettering Cancer Center
We are seeking candidates to develop novel research programs to drive translational computational methods in Pathology, serving as a liaison between Pathology faculty and Computational Oncology, Clinical Bioinformatics, Medical Physics, and Radiology informatics. The candidate will plan and execute research projects with a focus on precision pathology and cancer care. In addition to conducting primary and collaborative research, the faculty member will have educational responsibilities for medical and graduate students, post-doctoral students, and fellows. Faculty will be eligible to hold appointments in the Gerstner Sloan Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and/or the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC, providing access to exceptional graduate students.

We are looking also to fill other positions. Please contact me for more information about our computational pathology program.
Link: https://social.icims.com/viewjob/pt1690154613864483ea
Machine learning postdoctoral
University of Washington
Work on machine learning topics of mutual interest in Prof. Gang Luo’s lab. You can email your CV to luogang@uw.edu and talk with Prof. Gang Luo in the conference
Link: None
Senior to principle machine learning engineer
Apple Inc
Our team is looking for senior to principle level MLE to work on cutting edge applications at Apple. The idea candidate should have 8+ year experience on industry with at least one of the domains (ML/NLP/CV/LLM). If you are interested in, please msg me for a chat or send me your resume directly. Thank you.
Link: None
AI Agent Engineer
XRI
Our company’s vision is a world without language barriers. We have built agents capable of machine translation for low-resource languages. Native speakers interact with our agents via mobile apps we have built to train them. We have already hired engineers from Meta, MIT, and Quora. We are looking for the best.
Link: None
CSIRO Postdoctoral Fellowship for Responsible AI
CSIRO’s Data61
Data61 are seeking to employ a CERC Fellow to contribute to the vision of driving the development and adoption of Artificial Intelligence in Australia, with a specific digital technology focus on AI and Cyber Security. In this role, the CERC Fellow will deliver research projects with an outcome on developing methods and models to enhance greater resilience and confidence to cyber threats and ensuring equitable and responsible AI in the community.
Link: https://jobs.csiro.au/job/Melbourne%2C-VIC-CSIRO-Postdoctoral-Fellowship-for-Responsible-AI-for-Internet-of-Energy/942076910/
Applied Scientist, Generative AI Research
Nexon America
Nexon, the driving force behind globally acclaimed virtual worlds like MapleStory, KartRider, and Mabinogi, is seeking an Applied Scientist with a strong background in Generative AI with experience in either LLMs or art generation. At Nexon, we prioritize open communication, diversity, and mutual respect. With a hybrid work model, flexible hours, and fun perks like team events and food trucks, we're proud to be certified as a Great Place to Work for three years in a row.

As an Applied Scientist, you'll play an instrumental role in researching and implementing the latest generative AI technologies. Your insights will help us shape the future of our games and enhance our players' experiences. You will research and stay updated on the latest generative AI technologies and AI startups. You will refine our AI models, ensuring optimal accuracy, performance, and cost. You will collaborate with our data and game development teams to build and verify AI services, keep detailed documentation, and regularly present your findings to our teams.

We are looking for someone with a Bachelor’s degree in Computer Science, Mathematics, or a related field, and at least 2 years of professional experience in Applied Data Science. However, an advanced degree with research in generative AI is highly valued and will be accepted in place of professional experience.

At this time, we are not able to sponsor visas. However, if you're passionate about AI, eager to shape the future of gaming, and are eligible to work in the United States, we'd love to hear from you. Join us on our mission to push the boundaries of what's possible in gaming. Reach out to me to chat if you are interested or have any questions.
Link: linkedin.com/jobs/view/3641207559/
Machine Learning Engineer
Apple
At Apple, we work every single day to build products that enrich people’s lives! Our Advertising Platforms group makes it possible for people around the world to easily access informative and visionary content on their devices while helping publishers and developers promote and monetize their work. We are a team of passionate scientists and technologists, dedicated to helping advertisers find their audience, and changing the way advertising works with data. Our technology and services power advertising in Apple TV, Apple News and Search Ads in App Store. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are looking for an exceptional hands-on machine learning engineer who can thrive in a fast-paced environment.

This team is responsible for leveraging information on Apple’s ad marketplace to make recommendations to our advertisers and/or automatically optimize campaigns on their behalf to drive better performance for our advertisers across multiple domains and placements in a privacy preserving way. As a machine learning engineer you will be responsible for building end to end machine learning solutions in ads domain. You are expected to own machine learning modules in areas covering conversion modeling, automatic bidding, bid/keyword/budget recommendation, creative optimization, churn prediction, automatic targeting and more.

Education & Experience
PhD in computer science, electronics, statistics, mathematics, physics or related fields with 2+ years of industry experience or MS in computer science, electronics, statistics, mathematics, physics or related fields with 5+ years of industry experience


Please reach out to me if you are interested
Link: https://jobs.apple.com/en-us/details/200488457/machine-learning-engineer-advertiser-ai-ad-platforms
Machine Learning Engineer / Research Scientist (all levels)
Meta
Our team develops core recommendation systems and algorithms powering all Meta surfaces (Facebook, Instagram, etc.) to deliver relevant, informative, entertaining, and high quality content for billions of users on a daily basis. Areas that we are working on include but are not limited to: large models, sequential models, reinforcement learning, content understanding foundational models, generative models, distributed training/inference, content integrity, graph algorithms, online learning, optimization algorithms. https://ai.meta.com/blog/ai-unconnected-content-recommendations-facebook-instagram/ describes some of the work we’ve worked on in the past; there are more exciting challenges that we cannot currently disclose in the blog post. Please reach out if interested!
Link: None
JP Morgan Chase Personalization Team Jr/Sr/Lead MLE
JPMorgan Chase
Introducing JP Morgan Chase Personalization & Insights Team!

We are revamping Chase Travels and moving towards Personalization?

Ever Browsed through the chase app and discovered offers that you never knew existed ? Ever missed the right opportunity to use those hard-earned reward points ? Yearning for insights into what others are using and thinking? Do you want to enhance and perfect all these experiences ?

Are you ready to revolutionize the customer experience? Join our team and make a difference! We’re hiring individuals with expertise in reinforcement learning, recommendation systems, Large Language Models, and graph learning. If interested, please hit me up if you are at the conference so we can connect and tell you more about this role, Or email your resumes to anjul.tyagi@chase.com !
Link: None
PhD in ML and bioinformatics
Max Planck Institute of Biochemistry
Our lab headed by Prof. Dr. Karsten Borgwardt (https://www.biochem.mpg.de/borgwardt) is recruiting several PhD students in ML and bioinformatics. If you are interested in, feel free to chat with me!
Link: https://docs.google.com/document/d/1tUVNB-qOh2PJIrrzWD1mXd6UIGfMXZ8u/edit?usp=sharing&ouid=101311064453458589368&rtpof=true&sd=true
Multiple AI Faculty Positions at Westlake University, China
Westlake University
Westlake University is a new type of non-profit research-oriented university in Hangzhou, China, supported by public and private funding. Preceded by the Westlake Institute for Advanced Study, Westlake University is creating a stimulating, world-class environment for research and education in science, engineering and technology, and life sciences.

The AI Program at School of Engineering (SOE) is committed to conducting innovative AI research. We welcome applications in any area of deep learning at all levels.

Please message me for a chat if you are interested. You can also directly submit your application via Interfolio to apply.interfolio.com/95472
Link: apply.interfolio.com/95472
Applied AI Scientist
Strategy Robot, Inc.
Work with the world leaders in computational game theory on real problems of importance! Your first topic will be working on a team of AI world leaders and top fighter pilots to develop game-theoretic and deep RL techniques for the most important type of fighter jet combat: many-v-many beyond visual range. The work will leverage the world's leading coarse-of-action generation and execution system, which we have developed. The work will involve real-time distributed autonomous tactical execution within uncertain, dynamic, and complex environments. This AI will fly on real fighter jets already in the short run!

Required qualifications:
- PhD
- Strong AI design skills
- Strong software development skills
- Excitement to change the word with real AI products
- US citizenship, and eligibility to obtain TS/SAP clearance
- Desire to work with the world's leading experts in a fast-moving environment

Why apply?
- The company is the world leader in computational game theory AI
- Unique opportunity to apply game theory-based software products to the real world
- Ability to work directly with world-leading AI experts
- The company is already profitable
- CMU startup in close proximity to CMU
- Competitive compensation, including equity
- The company has a no-jerks policy
- Sponsorship for TS/SAP clearance
Applied AI Software Engineer
Strategy Robot, Inc.
Work with the world leaders in computational game theory on real problems of importance! Your first topic will be working on a team of AI world leaders and top fighter pilots to develop game-theoretic and deep RL techniques for the most important type of fighter jet combat: many-v-many beyond visual range. The work will leverage the world's leading coarse-of-action generation and execution system, which we have developed. The work will involve real-time distributed autonomous tactical execution within uncertain, dynamic, and complex environments. This AI will fly on real fighter jets already in the short run!

Required qualifications:
- MS or BS
- Strong AI design skills
- Strong software development skills
- Excitement to change the word with real AI products
- US citizenship, and eligibility to obtain TS/SAP clearance
- Desire to work with the world's leading experts in a fast-moving environment

Why apply?
- The company is the world leader in computational game theory AI
- Unique opportunity to apply game theory-based software products to the real world
- Ability to work directly with world-leading AI experts
- The company is already profitable
- CMU startup in close proximity to CMU
- Competitive compensation, including equity
- The company has a no-jerks policy
- Sponsorship for TS/SAP clearance
Postdoc and PhD students at ANU, Australia in deep learning and Bayesian machine learning
Australian National University
Hi,

I’m looking for one postdoc and several students to work on the frontiers of deep learning, Bayesian ML, Gaussian processes, and continual/federated/meta learning.

Feel free to send me an email with your CV and we can arrange a chat.


Link: None
Senior Data Scientist (LLMs)
Zurich North America
Zurich North America is looking for a Senior Data Scientist to join our growing Data & Analytics Team. While this position will be based out of our North American Headquarters in Schaumburg, Illinois, we are offering the flexibility to work both in the office and remotely. You will collaborate with your manager to set a schedule that supports you, your customers, and the team.

You will join a team that uses that uses a combination of analytics and advanced data science techniques (e.g., natural language processing, machine learning models, artificial intelligence techniques) to solve our business partners most pressing problems and help our customers better understand their risks. You will work within one of our cross functional Agile teams (Data Analysts, Data Engineers, and Data Scientists) that support various business units within the organization to achieve impact.

In this role you will:
• Develop & validate supervised & unsupervised learning models, create machine learning and AI models, and use other statistical techniques to solve business problems
• Contribute to the development of a strategy on how to use the model/solution to generate impact
• Collaborate with business stakeholders to understand their challenges and develop an analytical solution that creates business impact
• Contribute to the effort for team to democratize data by consolidating, integrating, cleansing, and minimally curating operational production system data and external data for insight generation
• Perform exploratory analysis which includes understanding the key statistical metrics on data columns, determining the granularity of the data, & assessing any related merge keys for combining the data
• Develop a production, end to end solution for deployment, working closely with Data Engineers
• Contribute to the development of monitoring framework to ensure the tool is performing as intended
• Support stakeholders after deployment to ensure impact is achieved
Link: https://www.careers.zurich.com/job/Schaumburg-Senior-Data-Scientist-IL-60159/771378202/
Postdoctoral position in Reinforcement Learning @ Politecnico di Milano
Politecnico di Milano
The Reinforcement Learning research group of Politecnico di Milano is seeking for candidates to develop cutting-edge novel research. We are interested in both theory-oriented and industry-oriented profiles. For the theory-oriented profiles, we expect a background in machine learning, reinforcement learning, probability, and statistics. Publications in top-tier venues (e.g., ICML, NeurIPS, AAAI, IJCAI, ICLR, AISTATS, JMLR, MLJ, ...) are welcome. For the industry-oriented profiles, we expect previous experience in working on industrial applications of machine learning and reinforcement learning (e.g., automotive, industry 4.0, health, climate change, ...). Publications in applicative venues of AI/ML are welcome.

Postdocs are expected develop their individual research (supervised by the faculty members), co-supervise PhD/MSc students. Teaching is not mandatory.

Fell free to contact us at ICML in person, via Whova, or email:
* Marcello Restelli marcello.restelli@polimi.it
* Alberto Maria Metelli albertomaria.metelli@polimi.it
* Francesco trovò francesco1.trovo@polimi.it
Postdoctoral position in verification/robustness of AI @ University of Oxford
University of Oxford
We are looking for a motivated Research Associate to join the FUN2MODEL project team developing theories, models and algorithms for quantitative/probabilistic verification and synthesis to enable robust AI. This may involve neuro-symbolic approaches; probabilistic verification/synthesis; planning and game-theoretic methods; robustness and certification.
Link: https://www.cs.ox.ac.uk/news/2177-full.html
Quant Researcher - Alpha Research
Sovereign Wealth Fund
Build-out of an internal hedge fund inside one of the largest wealth fund globally.
Link: None
PhD or Postdoc opening @ UT Austin: vision and LLM for neurosymbolic safety control
UT Austin
Working with VITA group (https://vita-group.github.io/) on a multi-year sponsored project exploring the frontier of safety-aware vision based RL and control.

Key techniques (required experience) will include one or multiple from { LLM and multi-modal foundation models; neurosymbolic methods; ML safety and formal verification}.

Position immediately available. Contact via email for more info
Link: None
Postdoc at Mila-McGill on AI-Healthcare & Speech
McGill University
We are looking for a postdoc fellow working on a speech+ global health project (see below).
———
Under the immediate co-supervision of, Dr. Mirco Ravanelli, and Dr. Samira Rahimi, we are looking for an enthusiastic post-doctoral fellow to join our dynamic team.
The objective of the project is to build an algorithm for early detection of COVID-19 and TB using caught sounds. This will be accomplished by leveraging the collection and analysis of clinical data, developing and implementing machine learning (e.g., supervised and unsupervised learning) tools using available clinical data.Under the guidance of the supervisors and in collaboration with external provincial, national and international stakeholders, the post-doctoral fellow will effectively play a leading role in conducting project and disseminating knowledge.
Interested students should prepare an electronic application that contains the following documents merged into one PDF file (with filename YourLastName-YourFirstName.pdf):
· One-page motivation letter
· Full curriculum vitae ,
· List names and contact details of three reference persons,
The application should be submitted by e-mail to Dr. Rahimi (samira.rahimi@mcgill.ca ).

Link: rahimislab.ca
Postdoc/Full time data engineer position at Mila-McGill on AI-Healthcare
McGill University

Under the immediate supervision of Dr. Samira Rahimi, we are looking for an enthusiastic post-doctoral or data engineer to join our dynamic team at RahimisLab.

The objective of the project is to build an algorithm for early detection of chronic diseases in primary health care . This will be accomplished by leveraging the collection and analysis of clinical data, developing and implementing machine learning (e.g., supervised and unsupervised learning) tools using available clinical data.Under the guidance of the supervisors and in collaboration with external provincial, national and international stakeholders, the post-doctoral fellow will effectively play a leading role in conducting project and disseminating knowledge.

Interested applicants should prepare an electronic application that contains the following documents merged into one PDF file (with filename YourLastName-YourFirstName.pdf):
· One-page motivation letter
· Full curriculum vitae ,
· List names and contact details of three reference persons,

The application should be submitted by e-mail to Dr. Rahimi (samira.rahimi@mcgill.ca ).

Link: rahimislab.ca
Computer Vision Post doctoral research assistant at Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center
Apply self supervised and other deep learning techniques to whole slide images from pathology department. We have large cohort of wsi of cancer (10^7) and large gpu cluster.
Link: None
Principle Scientist, Methods and Software Development for Genomics Workflows
Genentech
Qualifications
•Ph.D. in bioinformatics, biostatistics, computer science, mathematics, or similar, with a strong with a strong publication record
•Experience in computational biology with the demonstrated ability to develop and deploy novel computational methods to advance biomedical research
•Extensive experience analyzing assays and accompanying data formats used in molecular biology such as those for next-generation sequencing and various modalities of CRISPR technology
•Experience with UNIX and shared high-performance computing environments
•Strong record of software development for genomics data
•Ability to work independently and collaboratively on multiple fast-paced projects in molecular biology and genomics
•Enthusiastic and skilled communicator to an audience with no computational background
•Collaborative researcher, making co-author level contributions to scientific publications

Responsibilities
• The successful candidate will work in a collaborative environment, partnering closely with data scientists, computational biologists, software engineers and technology development scientists to develop, deploy, and maintain scientific software solutions to address computational needs driven by emerging genomic data modalities such as CRISPR-based experiments and single-cell-based experiments
• In particular, the candidate will be responsible for the development of production-level processing and analysis packages
• Communication of results to a diverse audience of quantitative and experimental scientists will be key, and external publication of both software and methodological innovations is strongly encouraged

Full details: Principal Scientist, Methods and Software Development for Genomics Workflows https://g.co/kgs/CFb3Dj
Link: None
Assistant Professor of Computer Science
Baylor University
We'll be hiring multiple positions.
Send me your information and I'll send you the link for applying when they become available.
If you are available to start now, let me know as well.
Link: www.baylor.edu
Machine Learning Artist
Visual Electric
Looking for folks who want to work on creative applications of Image Generation
Link: https://visualelectric.notion.site/Machine-Learning-Artist-b43048ee723344be822a9f036ba59dee
Research engineer / scientist at Character AI
Character AI
Character’s mission is to give everyone on earth access to their own deeply personalized superintelligence that helps them live their best lives.

Achieving our mission will require solving ambitious technical challenges, including engineering, research, and design, and we are assembling a world-class team to do so. Our founding team includes AI pioneers from Google Brain and Meta Research whose research has led to major breakthroughs in natural language understanding and dialog applications such as Transformers and Google LaMDA.

We are looking for people with solid engineering and machine learning skills to drive the research required for pushing the boundaries of artificial intelligence.

We are still a small team with under 40 people, funded by a16z (google us!), with an exploding user base!

Multimodal, NLP, and other researchers are all welcome!
Link: https://jobs.ashbyhq.com/character/1b79d3e6-abc4-42d6-afc7-b0e86c3178fe
Internship in Machine Learning for Computational Physics
NEC Laboratories Europe
NEC Laboratories Europe invites early stage researchers, either currently pursuing a Ph.D. or serving as postdocs, to delve into the intriguing field of machine learning applied to computational science.
You’ll become an integral part of our Intelligent Software Systems group. Here, you’ll collaborate closely with the “Machine Learning 4 Computational Science (ML4CS)” team. Our team is an ensemble of dedicated individuals from backgrounds in machine learning and computational physics/chemistry, all working towards the common goal of leveraging machine learning techniques for efficient and accelerated simulation of physical systems.
Your primary responsibility will be to improve algorithms that rapidly sample free-energy surfaces in molecular systems - a fundamental challenge in computational physics/chemistry. We have already defined a set of research questions to investigate; however, we are equally excited about the potential to explore new research directions together.
NEC Laboratories Europe prides itself on the high-impact research regularly published in top-tier conferences and journals. In our lab, you will not only be advancing the frontiers of your field, but also contributing to meaningful technological progress.

We are seeking creative individuals who thrive in a team environment and are passionate about working with cutting-edge technology. If this sounds like you, we would be thrilled to have you join one of the top research labs in Europe. Our primary working language is English, and the internship duration will initially be between 4 to 6 months.
Link: https://jobs.neclab.eu/jobs/openings/students/NEC-NLE-2307-123-ISS-2-Internship_in_Machine_Learning_for_Computational_Physics_[2023-07-123-ISS].pdf
AI Researcher/Engineer
Glority inc
We are Glority, dedicated to delivering value to users through AI. We have launched the globally popular plant identification app PictureThis, along with a range of recognition tools to help people gain a better understanding of the world.

We are seeking a highly-skilled individual to join our team as a Researcher in the field of multimodal/language and visual large-scale modeling. Your primary responsibilities will be:

1. Conducting research on multimodal/language large-scale models, including their development and implementation.
2. Conducting research on visual large-scale models, including their development and implementation.
Link: https://m.zhipin.com/mpa/html/weijd/weijd-job/fcec27dde70305871Xx-3NS4EFpU?date8=20230725&sid=qr_self_jd
Multimodal Generative AI Researcher/Engineer
Technology Innovation Institute
At TII, we incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

Job description

• Conduct research on multimodal generative AI techniques, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based models

• Design and implement innovative models and architectures that combine multiple modalities to generate realistic and diverse outputs

• Develop methods and techniques for preprocessing and integrating multimodal data sources, such as text, images, and audio, to facilitate seamless information exchange between modalities

• Investigate and implement techniques for aligning and fusing multimodal data representations to enhance generative AI capabilities

• Design and implement training pipelines for multimodal generative AI models, considering large-scale datasets and distributed computing frameworks

• Propose novel multi-modality algorithms, especially those that can work with the pre-trained large language model (such as Llama and Falcon)

• Optimize model for real world application, with consideration of accuracy, robustness, and speed

Skills Required

• In-depth understanding of digital signal processing (such as Fourier transform), speech signal processing, image processing, as well as the point-cloud processing.

• In depth understanding of Artificial Intelligence

• Proficiency with Python

• Proven experience with at least one of: TensorFlow/Keras/Pytorch

• Publications in top-ranking conferences/journals, such as CVPR, ECCV, ICCV, NIPS, ICASSP and others
Link: https://www.linkedin.com/jobs/view/3659018423/?alternateChannel=search&refId=3kYzPzdcpMW9T%2FieAMv6bA%3D%3D&trackingId=3Ldeaf6QFDeKeP9q9Nbnsg%3D%3D
Researcher - Computer Vision
Technology Innovation Institute
At TII, we incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

Job Description

• The candidate will focus on creating, adapting, and improving algorithms for various use cases in the topic of computer vision, including the vision-language models

• Apply machine learning and deep learning techniques to improve accuracy of computer vision algorithms

• Solve computer vision challenges that can be applied large-scale use cases

• Conduct creative computer vision research in recognition and semantic understanding of 3-dimensional real-world scenes

• Developing and maintaining the software stack related to computer vision

• Acquiring and managing datasets from real world scenarios for training models

• Training model with large dataset as well as large model on multi-GPU, with a good understanding of data parallelism training and model parallelism training

• Write efficient and easy to read code, but also review the code from others

• Deploy a trained model to different platforms, such as a robot with ROS system

• Optimize model for real world application, with consideration of accuracy, robustness, and speed

• Propose/build novel algorithms and publish/patent them

Skills Required

• In-depth understanding of image processing and NLP

• In depth understanding of Artificial Intelligence

• Proficiency with Python

• Proven experience with at least one of: TensorFlow/Keras/Pytorch

• Publications in top-ranking conferences/journals, such as CVPR, ECCV, ICCV, NIPS, ICASSP, Interspeech and others
Link: https://www.linkedin.com/jobs/view/3656555310/?alternateChannel=search&refId=3kYzPzdcpMW9T%2FieAMv6bA%3D%3D&trackingId=J6nsXWg0AecLjUYzFInaIA%3D%3D
Machine Learning Engineer III
Glidewell Dental
Please send an email direct to chenlei.zhang@glidewelldental.com with an introduction and attach your resume. Thank you!


• Builds, deploys, monitors, and continuously optimizes ML models and developing automated ML models’ training and inference pipelines
• Builds a deep understanding of the Company’s products, services, data and customers to facilitate development of personalized and fulfilling experience
• Dives into machine learning engineering and researching topics including ML algorithms, feature engineering, analysis, modeling, and production deployment
• Works with other machine engineering leads to continue to mature the use of machine learning within the organization
• Develops training and cross-validation data sets for machine learning algorithms
• Translates product management, engineering and business contraints and queries into tractable data science questions
• Identifies new opportunities of applying ML technology to improve the business workflows and processes
• Performs other related duties and projects as business needs require at direction of management
Link: https://www.linkedin.com/jobs/view/3520083507
Principal Researcher LLM/NLP
Technology Innovation Institute
At TII, we incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

Job Description

• The candidate will focus on managing a team, creating, adapting, and improving algorithms for various use cases in the topic of natural language processing and large language models

• Conduct research and develop NLP models and algorithms for Human Computer Interaction applications

• Develop and evaluate new algorithms and techniques for improving the accuracy and performance of NLP models and their

• Keeping up-to-date with the latest research and developments in the field of NLP and LLMs

• Formulate novel concepts including new research thrusts underpinning product roadmaps

• Guide prototype development while engaging with end-user communities and industry/academic partners to mature the company’s technology for field deployment

• Lead division-wide initiatives to regularly assess the state-of-the-art in NLP/LLM across industry/academia

• Coach/mentor NLP/LLM scientists/engineers

• Present your work to customers, collaborators, and the research community through papers, reports, demonstrations

• Generate proposals for new projects

Skills Required

• 12+ years experience in the field

• In-depth understanding of NLP/LLM

• In depth understanding of Artificial Intelligence

• Publications in top-ranking conferences/journals, such as ICML, Neurips, ICLR, KDD, VLDB, AAAI, NIPS, to cite a few.
Link: https://www.linkedin.com/jobs/view/3656556466/?eBP=JOB_SEARCH_ORGANIC&refId=7y7raO6MKwt7d2LwWzQOaw%3D%3D&trackingId=hvSCBMbGcRr0w2wml%2Balyg%3D%3D&trk=flagship3_search_srp_jobs
Machine Learning Engineer - LLM Fine Tuning
Technology Innovation Institute
At TII, we incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

Job Description

• Responsible for fine-tuning large language models to improve their performance on specific tasks and able to innovate

• Design and implement fine-tuning algorithms, adjust hyperparameters, and optimize model performance

• Preprocess and analyze data during fine-tuning to ensure the quality and applicability of the dataset

• Evaluate and analyze fine-tuning results and adjust the model to improve its performance

• In-depth understanding of the latest technologies and applications for large language models, and constantly improving fine-tuning skills and knowledge

• Contribute to technology transfers through the implementation of the research findings into proof of concept (PoC) according to the research needs

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback

Skills Required

• Proven experience as an NLP/ML Engineer or similar role

• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling

• Ability to effectively design software architecture

• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms

• Knowledge of Python, Java, and R

• Ability to write robust and testable code

• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Link: https://www.linkedin.com/jobs/view/3659016612/?eBP=JOB_SEARCH_ORGANIC&refId=7y7raO6MKwt7d2LwWzQOaw%3D%3D&trackingId=PYUUW7K9fkvQtV5%2BJossfg%3D%3D&trk=flagship3_search_srp_jobs
Senior Researcher LLM/NLP
Technology Innovation Institute
At TII, we incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.
 
Job Description
 
• The candidate will focus on creating, adapting, and improving algorithms for various use cases in the topic of natural language processing and large language models

• Apply machine learning and deep learning techniques to improve accuracy of NLP/LLM algorithms and systems

• Develop state-of-the-art natural language processing algorithms and models, with the primary focus on dialogue systems, natural language understanding, logic reasoning, pretraining, question answering, etc.

• Research and explore new natural language processing algorithms, and support complete solutions for future company applications

• Solve NLP challenges that can be applied large-scale use cases

• Building integrated solutions that apply our technology towards specific product verticals

• Training model with large dataset as well as large model on multi-GPU, with a good understanding of data parallelism training and model parallelism training

• Write efficient and easy to read code, but also review the code from others

• Optimize model for real world application, with consideration of accuracy, robustness, and speed

• Propose/build novel algorithms and publish/patent them
 
Skills Required
 
• 4+ years experience in the field

• In-depth understanding of NLP/LLM

• Proficiency with Python

• Proven experience with at least one of: TensorFlow/Keras/Pytorch

• Publications in top-ranking conferences/journals, such as ICML, Neurips, KDD, VLDB, AAAI, NIPS, to cite a few.
Link: https://careers.tii.ae/job/Senior-Researcher-LLMNLP/731071322/
LLM Engineer
Sovereign Wealth Fund
Applications of LLMs for multi bn investment, in greenfield build-out within large fund, in the UAE.
Link: None
Bioinformatics Analyst
Creyon Bio
https://www.linkedin.com/jobs/view/3643241173

You are an intrepid Bioinformatics Data Analyst passionate about distilling information from biological datasets. You have strong skills in bioinformatics, statistics & statistical learning, data science, data visualization & building data analysis dashboards/ reports. You have worked on biological problems involving NGS readouts and understand biological engineering principles.

You bring experience analyzing public quantitative biology datasets such as ENCODE, GENCODE, GTEx, Roadmap epigenomics, TCGA, cell atlas, protein atlas, Allen brain atlas, Expression Atlas, Fantom5, Blueprint or similar.

You are fast at learning new tools in data analysis, data visualization, and statistical packages. You are not afraid of looking under-the-hood in both external and internal codebases.

You are very good at implementing algorithms efficiently, and have a love for biological data visualization.

Requirements:
• MSc. in bioinformatics, computational / quantitative biology, computer science, engineering, statistics, applied mathematics or related quantitative field.
• Excellent quantitative & programming skills-
Python is a must have, SQL / Rust / C/C++ / Typescript / Javascript are also nice to have.
• Strong knowledge of the Jupyter ecosystem (numpy, pandas, matplotlib, seaborn), experience in data dashboards (Voila, Dash, Panel, Streamlit etc.) and various notebook tools (like Papermill, Cokkiecutter, Jupyterhub, Colab, Binder etc.).
• Understanding in sequencing technologies (Illumina, PacBio, Oxford Nanopore...)
• Strong foundation and skills in statistical analysis & machine learning algorithms
• Fluent and comfortable working across local and cloud environments and tools (AWS, CP, kubernetes, docker).
• Understanding of MLOps.
• Understanding of AngularJS & Flask.
• Good understanding of Linux, make, snakemake, git, etc.
• Unfazed by self-teaching and mastering unfamiliar topics.
Link: creyonbio.com
Research Engineer in Taiwan
Google
A small international team of senior REs (6-16y of experience each; incl. ex-DeepMinder), based in Taipei, working on ML for Pixel phones. We're looking for a few more senior folks with hands-on experience, willing to jump into the world of LLMs and GenAI.
Link: https://www.google.com/about/careers/applications/jobs/results/95728691956327110-senior-software-engineer-machine-learning-pixel-english/
PhD/interns wanted at national university of Singapore
national university of Singapore
the Congitive AI for Science team is recruiting PhD students starting fall 2024 and interns starting anytime. Two directions: 1) machine learning for biomedical sciences 2) cognitively inspired machine learning

multiple fully funded positions available

if you are interested, send me an email at dianbo.liu@alumni.harvard.edu

more information: cogai4sci.com
Link: cogai4sci.com
Eye for AI - A Graduate Program for Future Leaders in AI
AI Sweden
The Eye for AI program is uniquely designed to attract high-performing AI talent with a Master’s or Doctor’s degree and 0-3 years of work experience, typically in the fields of data management, data science and machine learning.
Link: https://www.ai.se/en/partner-offering/talent-programs/eye-ai
Research Scientist - Language AI
Deepgram
At Deepgram, we spend every day tackling big, real-world challenges in speech. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights. And to raise the bar, everything we build needs scale in its DNA; we aren’t content with simple horizontal scaling: we intend to replace entire data centers dedicated to speech analytics with a single rack of servers. These challenges provide opportunities for creativity and innovative problem-solving every day. Deepgram’s Research Scientists tackle some of the most exciting and difficult problems on the forefront of ASR and NLU technologies.
You’ll have the freedom to innovate and uncover breakthroughs — and influence our product roadmap in turn. We look forward to you bringing your whole self to work, sharing learnings from your latest experiments, and collaborating with us to advance the state of speech technology.

The Role
Deepgram is currently looking for an experienced Research Scientist who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture. This individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.
Link: https://jobs.ashbyhq.com/Deepgram/23c22067-7d5c-47db-8ecc-4998ea13b7ec
Faculty / Research scientist / postdoc / PhD students
King Abdullah University of Science and Technology (KAUST)
- Who we are

King Abdullah University of Science and Technology (KAUST) is a new and fast-growing university, and ranks the FIRST in the world in citations per faculty for 6 years in a row. KAUST AI Initiative is led by Jürgen Schmidhuber, the father of LSTM. There are multiple positions open, from interns, PhD students, postdocs, to faculty. We can exchange questions and information in the group chat. Also you can visit KAUST AI Initiative booth at Booth #108 in the exhibition hall.

- Who we are looking for

Various research positions are open and we are also looking for PhD students and interns.
Link: https://cemse.kaust.edu.sa/ai
Research Scientist
CyberAgent, Inc.
- Who We Are
CyberAgent is a leading company in Japan that continues to experience rapid growth in the internet industry. Within the CyberAgent Group, the AI Tech Studio division focuses on the development of cutting-edge services in the digital marketing domain and houses a research and development organization called “AI Lab.” The AI Lab consists of experts in various research fields, such as machine learning, computer vision, natural language processing, speech synthesis and recognition, HCI, HAI, econometrics, mechanism design, reinforcement learning, game theory, hyperparameter optimization, and CG. This job posting is for a research scientist position within the aforementioned organization.

- Mission
The research scientists at AI Lab are responsible for conducting research, returning results to the business, and presenting their findings externally through papers. Research is conducted with business implementation in mind, and challenging mid-to-long-term goals are pursued by iterating short-term prototyping and feedback to produce market-responsive outputs.
Link: https://cyberagent.ai/ailab/
(Senior)Research Scientist/Engineer,Intern,Project manager positions
Sony Research
Our AI Privacy and Security team in Sony AI and Sony Research still has some openings in both FTE and interns!We have 10+ FTEs now with background from Harvard,MIT,CMU,etc,all members have great backgrounds in federated learning, privacy,security,and responsible AI. Our team had won a long list of awards at top venues,including but not limited to ACL,ICML,CIKM,IEEE,IJCAI,AAAI,etc. Locations will be in US(flexible), Tokyo & Zurich. JD links are below:

https://www.ai.sony/joinus/job-roles/AI-Privacy-and-Security-Project-Manager/

https://www.ai.sony/joinus/job-roles/Research-Engineer-Privacy-Preserving-and-Secure-AI/

https://www.ai.sony/joinus/job-roles/research-scientist-privacy-preserving-machine-learning/

https://www.ai.sony/joinus/job-roles/research-intern-privacy-preserving-machine-learning/


Link: None
PhD in understanding deep learning
Eindhoven University of Technology
We're looking for a PhD student that would be interested in shedding light in the black boxes of deep learning!

Around 25% teaching in AI courses and 75% research. Start in fall 2023. A strong background in AI and/or physics or math is preferred.

The vacancy will be more concrete soon, but send me a message if you're interested and we could meet at ICML!
Link: hannahpinson.github.io
AI Research Scientist
Dell Technologies
Experience with LLM - foundation models, optimization of models, Reinforcement learning, Graph neural networks, distributed training and computing
Link: None
Tenure Track Professor
INSAIT
INSAIT is a first-of-its-kind research institute for computer science and artificial intelligence in Eastern Europe whose mission is to conduct world-class research, attract outstanding international scientists, and train the next generation of graduate and undergraduate students. INSAIT was created in partnership with ETH Zurich and EPFL Lausanne and offers internationally competitive salaries, access to SOTA computing resources, and generous startup packages.

If you want to know more about us, swing by the Federated Learning workshop on Fri 28th (Room 311) between 11:30 and 13:30 or by the AdvML workshop (Ballroom A) between 16:15 and 17:00, where we will be presenting work done at INSAIT. Alternatively, contact me at dimitadi@inf.ethz.ch to arrange a meeting.
Link: https://insait.ai/
PhD Student
INSAIT
INSAIT is a first-of-its-kind research institute for computer science and artificial intelligence in Eastern Europe whose mission is to conduct world-class research, attract outstanding international scientists, and train the next generation of graduate and undergraduate students. INSAIT was created in partnership with ETH Zurich and EPFL Lausanne and offers internationally competitive salaries, access to SOTA computing resources, and world-leading supervisors.

If you want to know more about us, swing by the Federated Learning workshop on Fri 28th (Room 311) between 11:30 and 13:30 or by the AdvML workshop (Ballroom A) between 16:15 and 17:00, where we will be presenting work done at INSAIT. Alternatively, contact me at dimitadi@inf.ethz.ch to arrange a meeting.
Link: https://insait.ai/
Senior Machine Learning Engineer
Mercedes-Benz R&D
Responsibilities
- Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment
- Provide support and insight to development teams responsible for implementation of machine learning techniques in a native head unit environment
- Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide

Minimum Qualifications
- Masters, Computer Science, Electrical or Mechanical Engineering, Math, Statistics, or related fields
- Strong programming and software development skills (Python/C++)
Hands-on experience with implementation, analysis and updating machine learning and AI algorithms in real world products
- Deep understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products
- Ability to quickly and effectively diagnose issues, evaluate fixes, and propose solutions for statistical data analysis and machine learning techniques
- Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands.
- Ability to collaborate effectively and pro-actively in cross functional development teams
- Extensive experience with ML frameworks such a PyTorch and Tensorflow
- Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms

Full details: https://www.linkedin.com/jobs/view/3628029974

If you are interested, submit an application here: https://jobs.lever.co/MBRDNA/d0988b06-cb82-47be-8ddb-9dd7dd39e386
Link: https://www.linkedin.com/jobs/view/3628029974
postdoc/fellow in neuroAI
Cold Spring Harbor Laboratory
Interested in building better AI using knowledge about the brain? Join a growing community at Cold Spring Harbor Laboratory doing research at the interface between neuroscience and machine learning. Several positions available ranging from postdoctoral to neuroAI fellow.
Link: https://www.cshl.edu/
Machine Learning Scientist
JP Morgan Chase
The Global Technology Infrastructure Platforms organization enables and supports the firm and our clients, customers and employees globally by providing core infrastructure, compute capabilities as well as cloud adoption and enablement. As part of Infrastructure Platforms (IP), CNS provides the Compute, Network and Storage for on-premise resources supporting the lines of business.
This role sits within CNS’ Base Compute organization and its mission is to provide business value by solving complex, large scale, and high impact problems associating with JPMC data center infrastructure. The Base Compute AI and Data Analytics team applies AI/ML and mathematical algorithms to solve open ended problems that align state of the art AI solutions with enterprise scale challenges. Our range of projects include capabilities in the AI Ops domain, business optimization, and capacity/supply chain estimation. This role requires a background in statistics, optimization, ML model development, and software development. We are looking for a team player who can collaborate and lead across organizations. The candidate should be able to communicate effectively to a broad audience and be prepared to build relationships with senior non-technical stakeholders. This is a highly visible and high impact role in the AI domain.
Link: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210430730/?utm_medium=jobshare
Machine Learning Engineer
DreamFold
DreamFold is a startup developing generative ML algorithms to navigate the vast space of proteins to discover medicines. We work at the intersection of ML, molecular simulation, and synthetic biology. Founded by researchers from Yoshua Bengio’s lab, as well as Michael Bronstein, a professor of AI at the University of Oxford, our goal is to save millions of patients left without a cure.

As a DreamFold Research Engineer, you will

- Work closely with our founding team and advisors to build and deploy generative learning models on AWS and GCP, built in Ray and Anyscale.
- Run ML training and inference workloads parallelized across thousands of GPUs.
- Build ML tooling and library code that enables an efficient, flexible, and scalable platform.
- Set up validations and benchmarks to ensure a high quality of ML models.
- Demonstrate a high level of autonomy and critical thinking.
- Integrate feedback from biological labs performing large-scale experiments on proteins and cancer cells.

Required skills and experience

- A degree in computer science, applied math, computational biology, or another quantitative field.
- 2+ years of experience building and running deep learning models.
- Demonstrated capability to summarize scientific content, to navigate complex and unknown problems, and to collaborate closely with cross-functional teams.
- Experience working with industrial scale models on distributed infrastructure.
- Experience developing and maintaining software libraries, following industry standard expectations.

Our commitments

- Opportunities for growth and leadership within our team.
- Gain first-hand experience and visibility on all aspects of the company.
- Scientific impact, publishing research and attending top ML conferences (ICML, NeurIPS, ICLR).
- Support for a Canadian work permit and permanent residency if needed.
- Comprehensive health insurance.
- A competitive compensation package including a true ownership stake (RSAs).
Use the link to apply.
Link: https://docs.google.com/forms/d/e/1FAIpQLSf6_ASLanlZXmHEuyyX1AW8To0syXOa9zxgGC7mrg6n5-QHAA/viewform?usp=sf_link
AI Systems Performance Engineer
Broadcom Inc
You will be responsible for running AI performance benchmarks for distributed training such as nccl, mlperf and LLM ai benchmarks, optimizing parameters with focus on Ethernet fabric. The ideal candidate will have a deep understanding of Ethernet fabric, machine learning, performance metrics, benchmarking, and will be adept at diagnosing and resolving system bottlenecks.


As a leading supplier of Ethernet fabric for AI training, Broadcom works with all major cloud providers. You will have a front row seat to the AI training cluster development in the industry.

Responsibilities:
- Install, configure and run benchmark tests.
- Identify and troubleshoot system performance bottlenecks.
- Develop and implement performance testing frameworks and automation tools.
- Write white papers, blogs on AI solutions with focus on Ethernet fabric

Experience with distributed training is a strong plus. Knowledge of Ethernet switching is preferred.
Link: https://broadcom.wd1.myworkdayjobs.com/en-US/External_Career/details/Performance-Test-Engineer_R017273
Postdoctoral researcher in online learning and computational game theory @Milan, Italy
Politecnico di Milano / Bocconi University
We are looking for a postdoctoral research fellow in online learning and computational game theory. The position is available from October/November 2023, with some flexibility in the starting date. This is a fully funded, full-time research opportunity that does not involve any mandatory teaching duties or coursework. The contract duration for this position is expected to be 2 years. We offer a competitive salary, and applicants from outside Italy may have the opportunity to benefit from a researcher taxation scheme.

This position is made possible through a collaborative research grant shared between Politecnico di Milano and Bocconi University. The successful candidate will be based either at Politecnico di Milano or Bocconi University, and they will have the opportunity to closely collaborate with my group at Politecnico di Milano and Andrea Celli’s group at Bocconi University.

Ideal candidates should have a track record in performing top-quality research in machine learning theory/computational game theory compatible with the standards of venues like EC, ICML, NeurIPS. Demonstrated past experience with such topics will be evaluated very positively.

Additional details at: https://andcelli.github.io/jobs.html

Feel free to contact me in person at ICML, via Whova, or by e-mail:
- alberto.marchesi@polimi.it
- andrea.celli2@unibocconi.it
Link: https://andcelli.github.io/jobs.html
PhD Students
Northeastern University
PhD students starting in Fall 2024
Link: Wyshi.github.io
Business and Marketing Data Scientist, Applied Machine Learning
Google
Minimum qualifications:
• Master’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience. • 3 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks. • 3 years of experience using SQL and programming in Python, TensorFlow or Pytorch.

Preferred qualifications:
• PhD in a quantitative discipline such as Computer Science or Engineering. • Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature. • Experience in cross-functional collaboration, with engineering teams and product teams. • Publications and experience working with cutting-edge technologies. • Experience with data ontologies with knowledge in graphs.

About the job
In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the customer journey. You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and retention.

You will also be responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results. You will partner with various teams to develop statistical models, customer-level recommendations, and automated solutions, consolidating existing Google technologies and building new ones.
Link: https://g.co/kgs/nFKPZ1
PhD position at TU Wien, Vienna, Austria
TU Wien (Technical University of Vienna)
The Machine Learning research unit at TU Wien is looking for excellently qualified PhD candidates. Vienna has repeatedly earned the title as the most liveable city in the world and the computer science faculty of TU Wien consistently ranks among the top 100 departments in the world.


The research topic for the PhD position is open and can be discussed but we are mostly interested in algorithmical, computational, and learning theoretic aspects of machine learning. Additionally, we are also interested in applications to Chemistry, related to the topics of the Marie-Curie project TACsy (DC 5 and/or DC 13). To apply and for more information, please go to the TU Wien job portal. The deadline is 3rd of August, 2023. There are also 6 month student assistant positions available in our group here for interactive visualisation and there for applications in Biology.


If you have any questions, please don't hesitate to talk to us.


Cheers,


  // Thomas
Link: https://jobs.tuwien.ac.at/Job/213528?culture=en
Machine Learning and Quantitative Research
Jane Street
Jane Street works differently. We are a quantitative trading firm active on more than 200 trading venues across 45 countries. As a liquidity provider and market maker, we help form the backbone of global markets. Our approach is rooted in technology and rigorous quantitative analysis, but our success is driven by our people. More than twenty years after our founding, it still feels like we’re just getting started.

Link below for our current open roles.
Link: https://www.janestreet.com/join-jane-street/open-roles/?type=experienced-candidates&location=all-locations&department=trading-and-research&team=quantitative-research
Chief Operations and People Officer
Partnership on AI (PAI)
Salary: $175-255K


Role Summary:

Reporting to the CEO, the Chief Operations and People Officer will oversee Human Resources, Operations, Finance and IT at PAI. With a clear commitment to diversity, equity and inclusion, this executive leadership role will have responsibility for managing all people and administrative matters including PAI’s legal affairs and contracts, human resources, compliance, operations and risk management, performance monitoring and planning.

The Chief Operations and People Officer will work closely with the CEO, the EA and Deputy Secretary to the Board, and the advisory Chief Financial Officer to be accountable to the Board and its Committees and support good governance practices across the organization. Managing a current team of four people, the operations, human resources, and CRM personnel will report directly to this Executive role.
Link: https://partnership-on-ai.breezy.hr/p/8ccc67bf4b9e-chief-operations-and-people-officer
Chief Programs Officer
Partnership on AI (PAI)
Salary: $175 -255K

Role Summary:


The Chief Programs Officer will be responsible for leading, managing and evolving PAI’s portfolio of programs, delivering measurable results that align with our theory of change. The Chief Programs Officer will oversee the collaborative development of practical, innovative, and accountability-focused responsible AI research outputs, promote their uptake among Partners, advance public understanding of PAI’s work, and inform innovations in public policy.

Importantly, the Chief Programs Officer will engage collaboratively and consultatively externally, notably with our global community of Partners and PAI’s Board of Directors and, internally, with individuals across PAI’s organization.

Specific leadership responsibilities include leading the Program Team, and working with PAI Steering Committees, to hold timely convenings on emerging international challenges, and conducting research, synthesis and analysis to develop accessible resources, tools, community standards and protocols to support responsible AI development.

Reporting to the CEO, the Chief Programs Officer will work closely with the Distinguished Research Director (part-time) on the Research and Impact Strategy; and the Programs and Research Team to deliver their objectives. This role has the following PAI leaders as their direct reports: Program Heads of Fairness, Transparency, and Accountability; Safety-Critical AI; AI, Labor and the Economy; AI and Media Integrity; and, Inclusive Research and Design. The Programs Team is currently 10 people.

The Chief Programs Officer will also work closely with the Head of Policy on the Global Policy Strategy; as well as the Chief Strategy Officer, Philanthropy and Partnerships; and, the Chief Operations and People Officer.
Link: https://partnership-on-ai.breezy.hr/p/a3ab3a5a5d02-chief-programs-officer
PhD Student
University of Edinburgh
I am recruiting a PhD student to join me in the School of Informatics at the University of Edinburgh, with a start date in January or September of 2024.

The topic is open, but I am interested in theory and algorithms for learning with limited data and distribution shift problems.

Please contact me ASAP if you are interested in discussing this opportunity informally at ICML.
Senior Machine Learning Engineer/Scientist
Samsung Research America
Machine learning for generative AI (e.g., LLM, Stable Diffusion, etc.) and On-device AI (model compression, lightweight model for image/video processing, etc.)
Link: https://sra.samsung.com/careers/detail/?id=6099423002&type=fte
PhD in applied AI in healthcare @Mila-McGill Faculty of Medicine
McGill
Interested students should visit Rahimislab.ca

Or contact samira.rahimi@mcgill.ca
Link: None
PhD student
MIT HAN Lab
MIT HAN Lab looking for PhD students working on efficient LLM systems
Link: https://songhan.mit.edu
SR. PRINCIPAL SCIENTIST - TRANSLATIONAL MEDICINE DIGITAL PATHOLOGY
Genentech
We seek a motivated scientist to drive translational medicine efforts focusing on Genentech’s Oncology pipeline. The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development. For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in digital pathology or spatial ‘omics for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.

For full details see: https://careers.gene.com/us/en/job/GENEUS202303106151EXTERNALENUS/Sr-Principal-Scientist-Translational-Medicine-Digital-Pathology
Link: https://careers.gene.com/us/en/job/GENEUS202303106151EXTERNALENUS/Sr-Principal-Scientist-Translational-Medicine-Digital-Pathology
Machine Learning for Life Sciences (Post-Bac to Post-Doc)
HHMI Janelia
We are looking for new lab members who are excited about the development and application of computer vision and machine learning methods in the context of the life sciences. More specifically, we are interested in topics that facilitate the analysis of large electron and light microscopy dataset. We would love to hear from you, if you are excited about any of the following topics: 

Segmentation and Classification of Biological Structures

Tracking and Event Detection in 2D and 3D Movies

Unsupervised, Weakly-Supervised, and Interactive Learning

Explainable AI for Unbiased Machine-Discovery

Processing of Very Large Datasets

Scientific Software Development for Experimentalists

At Janelia, you will have the unique opportunity to join a highly collaborative environment and work together with leading experts in the fields of cell biology, neuroscience, microscopy, biochemistry, machine learning, and computer vision. Several support teams at Janelia (including software engineers in Scientific Computing) are available to help develop your ideas beyond academic proofs of concepts, and turn them into usable tools in the hands of experimentalists.
The two available positions are meant for one junior (at least post-bac) and one senior scientist (post-doc), with some experience (for the junior position) or a strong background (for the senior position) in computer vision, machine learning, or scientific software development. Experiences with large microscopy datasets, deep-learning frameworks, Python, C/C++, or software design are a plus. Excellent communication, collaboration, and organization skills are a prerequisite.
Link: https://www.janelia.org/lab/funke-lab/open-positions
PhD Positions in AutoML on „Small Data“
University of Freiburg
We habe three open position at the AutoML lab:
1: Transfer- and meta-learning in deep networks for human brain-signal analysis
2: Learning fast and efficient hyperparameter control for deep reinforcement learning on small datasets.
3: Meta-learning for regularizing deep networks under small data regimes.
Link: https://ml.informatik.uni-freiburg.de/positions/
LLM/GPT Data Scientist
Aicadium
We are seeking a highly skilled and experienced LLM/GPT Data Scientist to join our team. As an LLM/GPT Data Scientist, you will be responsible for designing, training, and customizing GPT architectures for LLM, image-to-text, and/or text-to-image projects. Additionally, you will apply your expertise in machine learning (ML) for computer vision (CV), generative AI architectures, and other related areas. The ideal candidate will have a strong background in Python coding, extensive experience in data science (DS), ML, and AI, and the ability to independently solve complex problems and lead project teams.
Link: https://aicadium.bamboohr.com/careers/72
Postdoc in Neural Architecture Search
University of Edinburgh
My colleague, Elliot Crowley, is looking for a postdoc to work on neural architecture search. The deadline for applications is July 31st.
Link: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/7886
Head of Applied AI
Descript
Highlights:

- Join a growing tech startup that’s building the future of audio and video content creation with AI at its core.
- Get the chance to lead the AI Research team in a key strategic role, reporting directly to the VP of Engineering.
- Partner with world-renowned clients like BBC, ESPN, Hubspot, Shopify, and Washington Post.
- Make an impact in a well-funded startup, with $100M investment from industry leaders like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures, and Spark Capital.
- Work with a team dedicated to creating innovative AI technologies like Overdub, Studio Sound and more.
- Lead the AI research for high profile publications, including « SampleRNN », « Char2Wav », « ObamaNet », « MelGAN », « Wav2CLIP » and more.

🔧 Key Responsibilities:

- Lead cutting-edge AI research projects and ensure their timely completion.
- Collaborate with other teams to integrate AI technologies into real-world products.
- Mentor and manage a team of research scientists and engineers.
- Develop and implement research strategies.
- Stay updated with the latest developments in AI technology.
- Represent Descript in conferences and events.

🏅 Requirements:

- PhD or Master’s degree in Deep Learning or equivalent experience.
- 3+ years in managing AI teams and 5+ years of experience building deep learning models.
- A proven track record of leading research projects to production.
- Exceptional communication and interpersonal skills.
Link: https://boards.greenhouse.io/descript/jobs/5584041003?gh_jid=5584041003
Applied Research Scientist
Descript
🔥 Highlights:

- Join an innovative tech company shaping the future of audio and video content creation.
- Work on cutting-edge technologies like voice cloning and one-click speech enhancement.
- Be part of a well-funded company, with $100M investment from industry giants like OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.
- Join a dedicated team of around a dozen researchers specialized in generative models and deep learning.

🔧 Key Responsibilities:

- Oversee research process from problem definition to running and analyzing experiments.
- Collaborate and communicate effectively with the team on task status, results, and challenges.
- Contribute to designing the research roadmap of the company.
- Train and mentor other team members.
- Own the research function of specific product features.

🎯 Challenges:

- Use deep learning (NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
- Create realistic voice doubles from few minutes of audio.
- Develop tools to synthesize photo-realistic videos that match our Overdub feature.
- Design and develop new algorithms for media synthesis, speech recognition, anomaly detection, etc.
- Generate innovative research directions to improve our product.

🏅 Requirements:

- Proven experience in designing and implementing deep learning algorithms.
- PhD or Master’s degree in Deep Learning or equivalent experience.
- Strong programming skills and deep knowledge of deep learning frameworks.
- One or more of the following: Lead author of a publication in a top conference (ICLR, ICML, NeurIPS, etc.) or played a key role in shipping a deep learning-based feature in production.

💡 No specific domain knowledge in computer vision or speech-processing required.
Link: https://boards.greenhouse.io/descript/jobs/5569540003?gh_jid=5569540003
LLM/GPT Data Scientist
Aicadium
We are seeking a highly skilled and experienced LLM/GPT Data Scientist to join our team. As an LLM/GPT Data Scientist, you will be responsible for designing, training, and customizing GPT architectures for LLM, image-to-text, and/or text-to-image projects. Additionally, you will apply your expertise in machine learning (ML) for computer vision (CV), generative AI architectures, and other related areas. The ideal candidate will have a strong background in Python coding, extensive experience in data science (DS), ML, and AI, and the ability to independently solve complex problems and lead project teams.
Link: https://aicadium.bamboohr.com/careers/73?source=linkedin%20?uid=rly2zh8a
Geospatial LLM Intern
Granular AI
Make LLM work for geospatial vector and event data.
Link: granular.ai
Geospatial LVM Intern
Granular AI
Build large vision models on petabyte scale satellite and aerial imagery data for ESG, PropertyTech and disaster management.
Link: granular.ai
Manager - Machine Learning for Member Satisfaction @ Netflix
Netflix
We are looking for an experienced engineering leader to lead our applied ML research on estimating long-term member satisfaction. As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members find the content they’ll most enjoy. To do this, we have to understand which titles, and what experiences in the product, produce the most joy for each member.

Your team will be at the forefront of research on causal inference, machine learning, reinforcement learning, and econometrics. You will lead a team of experts in these techniques to understand how members experience titles, and how that changes their long-term assessment of their satisfaction with the Netflix service. In this role you will be responsible for building and leading the team. Your team will be responsible for operating, as well as innovating on, these algorithms in production. You will help select and guide projects from end-to-end: idea to production. You will partner with people from many disciplines, including behavioral scientists, machine learning researchers, and application engineers.

To be successful in this role, you need a strong machine learning, engineering, and econometrics background, to be data-driven, and have the proven ability to lead multi-disciplinary, cross-functional, teams. You also need to be great at giving and receiving feedback, championing new ideas, empowering others, and balancing the needs of both research and engineering.

Minimum Job Qualifications
* Experience building and leading a team of ML researchers and engineers
* A track record of leading applications of ML to solve real-world problems
* Broad knowledge of causal inference, econometrics, and machine learning
* Great interpersonal skills
* MS or PhD in Computer Science, Statistics, or a related field
Preferred Qualifications
* 10+ years of total experience including 5+ years of engineering management
* Experience working on high-scale consumer problems.
Link: https://jobs.netflix.com/jobs/285377726
Product Manager - Machine Learning Platform @ Netflix
Netflix
With more than 230 million members in over 190 countries, Netflix continues to shape the future of entertainment around the world. Machine Learning/Artificial Intelligence is powering innovation, from personalization for members, to optimizing our payment processing and other revenue-focused initiatives.

The Machine Learning Platform (MLP) provides the foundation for all of this innovation. It offers ML/AI practitioners across Netflix the means to achieve the highest possible impact with their work by making it easy to develop, deploy and improve their machine-learning models.

We are creating a new Product Management role to increase the leverage of our Machine Learning Platform.

In this role, you will:
Define the strategic vision for MLP, objectives, key results and success metrics in partnership with Engineering and in alignment with broader business objectives.
Collect feedback and understand user needs from ML/AI practitioners and application engineers across Netflix, deriving product requirements and sizing their importance to then prioritize areas of investment.
Ensure product success throughout the entire lifecycle of strategically important initiatives, from ideation to full launch and ongoing support.
Socialize strategic plans, roadmaps, and ongoing progress to stakeholders and executives in product review forums, quarterly OKR check-ins, etc.
Create programs around user education and support for users of the ML Platform.
Follow and assess external industry trends and innovations.

See job posting for more...

Link: https://jobs.netflix.com/jobs/278437235
LLM Researcher/Engineer
Multiple
Multiple of my high growth early stage ML startups are hiring top tier LLM researchers and engineers. Reach out if you are interested to work in an early funded startup and work on some of the most interesting agent, RL, personalization and LLM/multimodal problems in the industry.
Link: None
Valence Scholars Program (Multiple Openings)
Valence Labs
About Valence Labs

Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world’s largest deep learning research institute.

About the scholarships:

The Valence Scholarship is a competitive program aimed to support exceptional MSc or PhD students pursuing research in the field of AI for drug discovery, or students aspiring to begin applying their research to the domain of drug discovery.

Scholarships are offered to support the training & development of the next generation of leaders in this field. Through this initiative, Valence hopes to encourage and support novel innovations in AI that can accelerate the design and discovery of novel therapeutics that improve lives.

Learn more via the job posting link.
Link: https://www.valencelabs.com/careers?gh_jid=5227059
Research Engineer (Multiple Openings)
Valence Labs
About Valence Labs

Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world’s largest deep learning research institute.

About the role

We’re seeking an experienced Research Engineer to shape and lead the development of software and AI systems that will help in our mission of decoding biology to radically improve lives. We’re looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at significant scale. In addition, we highly value proficiency with state-of-the-art machine learning algorithms and exceptional problem solving skills.

Learn more via the job posting.
Link: https://www.valencelabs.com/careers?gh_jid=5226939
PostDoc in deep learning theory
CISPA Helmholtz Center for Information Security
Research on deep learning theory and/or mean field theory and/ or neural network sparsification and/or graph neural networks and/or biological applications

No teaching duties
Link: None
AI Scientist, Deep Learning
Absci
We are seeking Research Scientists to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design. As a Research Scientist, you will develop advanced machine learning techniques that will be deployed for the creation of lifesaving drugs. We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins.
Link: https://www.absci.com/careers/roles/?gh_jid=5034980003
Senior AI Research Scientist
Absci
We are seeking a Senior AI Research Scientist to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design.

As a Senior Research Scientist, you will use state-of-the-art generative AI and deep learning to lead innovative research projects to support our drug discovery campaigns.

We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins.
Link: https://www.absci.com/careers/roles/?gh_jid=5641636003
Research Scientist (Multiple Openings)
Valence Labs
About Valence Labs

Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world’s largest deep learning research institute.

About the role

We’re seeking an experienced Research Scientist to pursue bold and high-risk research endeavors supporting our mission of decoding biology to radically improve lives. We’re looking for individuals who possess the ability to own, pursue, and clearly communicate a research agenda, including carrying out long-running projects independently or in a team. This multifaceted role combines the need for a deep understanding of state-of-the-art machine learning algorithms, exceptional problem solving and engineering skills, and experience in the computational life sciences.

Learn more via the job posting.
Link: https://www.valencelabs.com/careers?gh_jid=5226962
PhD positions in deep learning theory
CISPA Helmholtz Center for Information Security
Research on deep learning theory and neural network sparsification with potential applications in biomedicine

No teaching duties but 100% salary for a duration of approximately four years.
Link: None
Research Scientist (L6) - Machine Learning and Inference Research @ Netflix
Netflix
The Machine Learning and Inference Research team is an applied research team designed to build up Netflix’s technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabilities to life. As a member of the Machine Learning and Inference Research team, you will have the opportunity to drive and execute bleeding-edge research while working in close partnership both with other researchers in the team and with partners in a wide range of product teams. You will leverage your expertise in the frontiers of ML to influence the direction of company roadmaps and work cross-functionally with engineering and product to prototype, test, and implement your research to deliver improvements to the member experience and drive change across the company. Additionally, you will be actively engaged with the broader ML research community through conferences, publications, organizational activities, and academic collaborations.

What you bring
* Ph.D. in a relevant area, with a minimum of 6 years of post-Ph.D. experience across industry and academia.
* Ample ML research experience, in academia and/or industry, including on topics related to sequential decision-making.
* A track record of bringing clarity to and leading ambitious research projects inspired by real-world challenges
* Demonstrates mastery of your technical area through extensive experience evaluating and introducing new methods - either by developing them or keeping pace with industry developments
* Passion for collaboration and building solid relationships with colleagues and stakeholders to tackle big, cross-functional problems
* Exceptional communication with a wide variety of technical and non-technical stakeholders
* Self-motivated to build, with an ability to thrive with minimal oversight and process

See posting for more detail
Link: https://jobs.netflix.com/jobs/281674100
PhD Student | society-aware ML
Saarland University
Prof. Isabel Valera is looking for several PhD students to work with her and her team in society-aware ML. We seek for researchers interested in probabilistic and optimization (especially multiobjective) methods, as well as fairness and interpretability.
Link: https://machinelearning.uni-saarland.de/
Postdoc | society-aware ML
Saarland University
Prof. Isabel Valera is looking for several Postdocs to work with her and her team in society-aware ML. We seek for researchers interested in probabilistic and optimization (especially multiobjective) methods, as well as fairness and interpretability.
Link: https://machinelearning.uni-saarland.de/
PhD Student | AI for Health | Federated Learning | Theory of Deep Learning
Ruhr University Bochum
Fully funded PhD position in the Trustworthy Machine Learning group of Michael Kamp. Topics: AI in Health, Theory of Deep Learning, Federated Learning, Privacy.

The group is part of the Institute for AI in Medicine of the University Hospital Essen.
Link: http://trustworthyml.de/
Postdoc Imperial College London. Robustness, Verification. Time series Models.
Imperial College London
We are looking for an additional postdoc joining us working in themes of verification and robustification for timeseries models (transformers and/or cnns) in the context of a EU funded project of neurosymbolic learning. Please feel free to send a CV. Happy to chat here at icml informally if interested.

Potential collaborations with startups also possible for suitable applicants.
Link: http://vas.doc.ic.ac.uk/
Multiple Tenure Track Positions in AI, University of Concepción, Chile
University of Concepción
We have multiple tenure track positions open in fundamental or applied AI at the assistant/associate/full professor level at University of Concepción, Chile. If you would like to know more about them, send me a message and we can meet!
Software developer (ML)
Stealth startup
A Software developer with a preferred ML experience for a AI based product focused on travel industry.
Link: None
PhD and Postdocs
UCSD
Hao Zhang (https://people.eecs.berkeley.edu/~hao/)‘s group at UCSD has multiple openings for new PhD students and Postdocs. We mainly work on machine learning and systems, LLMs, efficient training and inference of LLMs, LLM evaluation. We created Alpa, Vicuna, Chatbot Arena, vLLM, etc.
Link: https://people.eecs.berkeley.edu/~hao/ https://lmsys.org
Postdoctoral research associate
Los Alamos National Laboratory
Diffusion modeling for physical simulations (multiphase flow, fluid dynamics, and chemical molecular graph)
Link: None
AI Scientist, Deep Learning
Absci
We are seeking Research Scientists to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design. As a Research Scientist, you will develop advanced machine learning techniques that will be deployed for the creation of lifesaving drugs. We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins.
Link: https://www.absci.com/job/?id=5034980003
NLP Algorithm Engineer, TikTok E-commerce Intelligent Customer Service
TikTok
We have full time positions available for NLP/ML engineers to develop chatbot agents as artificial customer service agents.
Among our roles, our team is currently working on developing Multi-lingual Large Language models. If you are interested, please consider applying.
Link: https://job.toutiao.com/s/ickq79T
Applied Scientist, Recommendation, E-Commerce Alliance
TikTok
We have full time positions available for Applied Scientists to develop recommendation systems for an E-Commerce domain in TikTok Shopping. This will be serve merchants and creators in connecting with interested users. More details in the application link.
Link: https://job.toutiao.com/s/ic5X67t
Multiple PH.D. Openings at NCSU CS
North Carolina State University (NCSU)
My group at the CS department of North Carolina State University (NCSU) has multiple PhD positions focusing on software-hardware co-design for efficient, secure and privacy preserving (DP, HE, MPC etc.) machine learning systems in Spring2024 and Fall2024. In addition to venues like ICML, NIPS, CVPR etc. our group has consistently published works in top security and hardware conferences such as IEEE security privacy (Oakland),USENIX Security, MICRO, HPCA, DAC etc. Drop me an email wuw219@lehigh.edu if you are interested.
Link: https://www.lehigh.edu/~wuw219/
Doctor
Korean university Ansan
radiologist
Link: None
AI Machine Learning Scientist
Elevance Health
Elevance Health ( #22 in Fortune 500) is a health company dedicated to improving lives and communities – and making healthcare simpler. Elevance Health (formerly Anthem, Inc) is an AI first company, some of the current projects in our team include large scale online learning approaches from streaming data sources for interventions/personalization in a variety of application contexts, clinical event predictions, Disease progression, NLP (information extraction, question answering, summarization, conversational agents). Opportunity to work on claims, text, speech, image data. Please feel free to email resumes for current/ future openings
Link: None
PhD student
Imperial college London
Interested in ML for Actionable Impact and want to live in vibrant London? Apply to the AI4AI lab at Imperial college London. Our research focuses on the themes of sequential decision-making in uncertainty, causal inference and interpretability for actionable insights in healthcare.
Link: None
Data Scientists/Researchers Wanted for a Research Study
University of Vermont
Researchers at the University of Vermont are conducting a remote usability study to evaluate a privacy-enhancing data science tool. We are looking for participants who:

1. Are at least 18 years old
2. Reside in the US
3. Can speak and read English
4. Have prior data analysis experience with Python and Jupyter Notebook

In this study, you will be asked to:
1. Review a handout/tutorial of a data science tool
2. Complete a few data analysis tasks using the tool on a shared screen
3. Speak out aloud your thought process while you complete the tasks
4. Complete post-task survey and interview

All study procedures will take approximately 1.5 hours via a Microsoft Teams meeting, the study session will be screen and audio recorded.

After completion, you will receive a $40 gift card as thank-you for your time.

If interested, please fill out this eligibility survey - https://qualtrics.uvm.edu/jfe/form/SV_6PEW9IzKiZZJ9EG - and we will reach out if you are selected to participatew
Link: https://qualtrics.uvm.edu/jfe/form/SV_6PEW9IzKiZZJ9EG
AI/ML Researcher - Human-Guided Machine Learning and Reinforcement Learning
US Army Research Laboratory
The Army Research Laboratory invites applications from motivated graduate students and post-doctoral researchers to join our team as AI/ML Researchers, specializing in human-guided machine learning and reinforcement learning. In this role, you will have the opportunity to work on cutting-edge research and development initiatives related to AI/ML algorithms, with particular emphasis on human-guided learning techniques for applications in robotic systems and other critical Army domains.

**Responsibilities:**
- Design, develop, and implement novel AI/ML algorithms, particularly in the areas of human-guided machine learning and reinforcement learning.
- Conduct research to apply these techniques to various Army-centric problems, including but not limited to robotic system learning, decision-making, and control.
- Develop methods for integrating human guidance and feedback into machine learning and reinforcement learning algorithms.
- Collaborate with a multi-disciplinary team of researchers and engineers to integrate AI/ML solutions into larger system frameworks.
- Participate in the preparation and submission of research proposals, technical reports, and publications.

**Qualifications:**
- A Master's or Ph.D. degree in Computer Science, AI, Machine Learning, Robotics, or a related field, or currently enrolled in a related graduate program.
- Solid background in AI, machine learning, reinforcement learning, and human-computer interaction.
- Strong programming skills in Python
- Experience in working with robotic systems is highly desirable.
- A track record of published research in relevant fields is a plus.

**Why Join Us?**
Join us in making significant contributions to the field of AI/ML, while also directly aiding the operational effectiveness and safety of our nation's military. In addition to a stimulating and supportive research environment, we offer competitive salaries and benefits, as well as opportunities for professional growth and development.
Link: https://www.zintellect.com/Opportunity/Details/ARL-R-HRED-300038
PostDoc in ML/Federated Learning/Optimization/DL Theory
CISPA Helmholtz Center for Information Security
Research on deep learning theory and/or (non-convex) optimization and/or federated learning and/or privacy preserving ML.

No teaching duties, 100% funding.
Link: https://sstich.ch
Postdoc position in Bandit and Reinforcement Learning Theory
Inria Lille
If you are interested in Bandits and RL theory, specifically how different structural assumptions and constraints impact the regret minimisation problem, feel free to apply for the postdoc position.

The position will be for 18 months and probably, extendable further. You will be a part of Scool team (previously SequeL) of Inria and CNRS at Lille, France. Drop Debabrota Basu an email to know more.

A PhD in statistics or computer science and experience with bandits/RL/learning theory are desired. Interest in ethical AI, such as questions of privacy/robustness/bias, will be really appreciated.

The starting date is flexible.
Link: debabrota-basu.github.io
Phd students
University of Hawaii
We are looking for multiple PhD students with either theoretical and applied interests. You will be working with an innovative, interdisciplinary team in Electrical and Computer engineering, computer science, economics, business and medicine. The research agenda funded by the National Science Foundation spans the areas of machine learning and statistics, real time and online decision making, with cutting edge applications in decarbonization, communications and healthcare. All in beautiful Honolulu. Please email for more details.
Research Scientist in LLM
TikTok
Responsible for the research and application of the company’s large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world. The main job directions include:
1. Explore large-scale models and optimize systems to the extreme;
2. Data construction, instruction tuning, preference alignment, and model optimization;
3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.;
4. In-depth research and exploration of more usage scenarios in future life;
Link: https://job.toutiao.com/s/i3LorQm
Research Scientist / Research Engineer
MongoDB
The MongoDB Research Machine Learning Group conducts research at the intersection of ML and databases, an extremely active area of research. Because MongoDB stores semi-structured data (i.e., the Document Model), our ML research presents unique opportunities. We are applying state-of-the-art deep learning architectures such as transformers and large language models to this unique data model. Our work has the potential to improve existing products, create entirely new products, and substantially transform and grow MongoDB's business.

Our small team is growing and we are seeking both Research Scientists and Research Engineers to join us in this exciting and innovative space. The areas we are interested in include (but are not limited to) transformers and large language models, density estimation, modelling of tabular and semi-structured data, learned data structures and algorithms, distributed training and inference, privacy.

For more information about the positions, visit the links below.

https://www.mongodb.com/careers/jobs/5227967

https://www.mongodb.com/careers/jobs/5227942
Link: https://www.mongodb.com/careers/jobs/5227967
Research Scientist
FAR AI
FAR AI is seeking applications from both experienced and first-time Research Scientists, who are looking to develop and execute on a safety research agenda and/or accelerate our existing projects.
Link: https://far.ai/post/2023-03-research-scientist/
Sr. Applied Scientist in LLM
Amazon
Amazon is the 4th most popular site in the US. Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include:

Can combining supervised multi-task training with unsupervised training help us to improve model accuracy?
Can we transfer our knowledge of the customer to every language and every locale ?
Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs?


This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.

We work on using large language model to re-invent how do we design and implement applications for customer shopping experience, such as search and ads.
Link: https://www.amazon.jobs/en/jobs/2407539/sr-applied-scientist
Cognitive Research scientist
Johns Hopkins University
We are recruiting a postdoctoral fellow to work on scientific explorations at the interface of computational neuroscience and machine learning at Johns Hopkins University. The fellow will join a collaborative team led by Profs Mick Bonner (dpt of Cognitive Science) and Brice Ménard (dpt of Physics) investigating the fundamental principles that govern neural representations in high dimensions, with a focus on vision.
Link: https://bonnerlab.org/open-positions
Tech Investor in AI
Samsung Next Ventures
https://boards.greenhouse.io/samsungnext/jobs/6839108002
Link: https://boards.greenhouse.io/samsungnext/jobs/6839108002
PhD Students
Gwangju Institute of Science and Technology
We have multiple openings for MS or PhD position at GIST. My group challenges problems that humans can easily solve, but AI has not yet performed well (Abstraction Reasoning Corpus, Rich Math Problems). Please check the link below and send me your updated CV to sundong@gist.ac.kr. I will follow up with the qualified candidates with further information via email.
Link: https://sundong.kim
PhD Position on Meta-RL
Bosch Center for AI
Join our RL team at the Bosch Center for AI and work on exciting challenges in the world of meta-RL. No teaching duties.
Multimodal Machine Learning
TikTok
Tiktok’s Trust and Safety team- hiring for both Machine Learning Engineers and Research Scientists. Email me to learn more!
Link: None
Scientist or doctoral candidate in computer science, mathematics, statistics, physics
Physikalisch-Technische Bundesanstalt
Your tasks:
As part of the collaborative MAIBAI research project being funded by the European Partnership on Metrology (EPM), machine learning (ML) methods pertaining to various problems in mammographic data analysis are to be developed, curated, and tested in terms of quality aspects. For this purpose, suitable real and synthetic mammography datasets are to be created and appropriate metrics for quality assessment developed and used for quantitative comparisons of different AI/ML approaches. It is expected that the achieved project results will contribute to the translation of ML and AI tools into clinical applications.
* Developing and curating state-of-the-art deep learning models for mammographic data
* Defining quality requirements with respect to predictive power, robustness, quantification of the uncertainty, and explainability
* Defining and implementing quality metrics and building benchmark datasets
* Benchmarking and carrying out quantitative validation studies
* Presenting and publishing the research results

Your profile:
* You have successfully completed your university studies (master’s degree or German Diplom) in computer science, mathematics, statistics, physics, or a comparable discipline.
* Ideally, you have obtained a doctor’s degree in the field of machine learning or a closely related technical field.
* You have extensive and current expertise in theoretical and applied ML/AI and statistics.
* You have experience with methods of explainable ML as well as modern generative models (diffusion models, convolutional neural networks).
* You possess very good programming skills in Python and relevant deep learning libraries such as Pytorch.
* You are a strong team player with excellent communication skills.
* You have a very good command of English, both spoken and written.
* You are willing to travel for work both in Germany and abroad.
Link: https://www.ptb.de/cms/en/about-us-careers/careers/bms-stellen/bms-stelle.html?tx_jobmodul_pi1%5Bjob%5D=4973&tx_jobmodul_pi1%5BlistBackPid%5D=11489&cHash=cf4e34dd92c315ea29c971482499ba60
Doctoral or Postdoctoral Researcher to work on inverse modeling of electromagnetic brain activity (M/EEG) using Machine Learning
Physikalisch-Technische Bundesanstalt
Your tasks:

You will help to develop novel fundamental methods of
inverse modeling with integrated uncertainty estimation for the localization and reconstruction
of spatiotemporal activity patterns of the brain based on magneto- and electroencephalo-
graphic (M/EEG) recordings as well as on measurements conducted using novel optically
pumped magnetometers (OPM). These are to be tested in applications such as epilepsy diagnostic.
• Developing novel hierarchical Bayesian methods for inverting measurement equations
• Developing novel generative and supervised deep learning methods for inverse
estimation using realistic simulated data
• Optimally incorporating individual anatomy as well as forward physical equations
through physics-informed modelling
• Obtaining well-calibrated uncertainty estimates by modeling all relevant sources of
uncertainty
• Developing benchmarks based on synthetic ground-truth data as well as objective
quantitative quality metrics; carrying out validation and comparison studies
• For post-doctoral researchers: Co-supervising doctoral candidates and master’s students

Your profile:

• You have successfully completed your university studies (Master’s or German Diplom)
in a relevant technical discipline (e.g. computer science, mathematics, statistics,
physics).
• Ideally, you have obtained a doctor’s degree in the field of machine learning, inverse
problems, or a closely related discipline.
• You possess extensive and up-to-date expertise in machine learning, inverse modeling
and deep learning (including generative and physics-informed neural networks).
• You will ideally be knowledgeable in the field of physical simulation.
• You have very good programming skills in Python and relevant deep learning libraries
such as Pytorch.
• You are a strong team player with excellent communication skills and a willingness to
cooperate.
• You are willing to go on business trips
Link: ptb.de
Doctoral or Postdoctoral Researcher to work on “Explainable” Machine Learning
Physikalisch-Technische Bundesanstalt
Within the research project, novel basic methods of “explainable artificial intelligence” (XAI)
and machine learning (ML) will be developed and applied to selected problems in
(biomedical) image data analysis. In addition, metrics and benchmarks will be developed to
evaluate the quality of explanations. Concrete tasks are:
• Development of definitions of explainability and requirements for explainable ML
• Development of new explainable ML models based on modern generative and
invertible neural networks
• Development of metrics of explanation quality
• Benchmarking and execution of validation studies
• Application of explainable ML models in the field of image classification
• Publication of research results in journal articles and presentation of results at
machine learning conferences
• Co-supervision of PhD and Master students on the mentioned topics (for PhD holders)

Your profile:

• You have completed your university studies (Master’s or German Diplom) and (will
soon have) obtained a doctorate in a relevant technical discipline (e.g., computer
science, mathematics, statistics, physics, electrical engineering)
• Strong and up-to-date expertise in theory and practice of ML/AI and statistics.
• Experience with methods of “explainable” ML as well as modern generative models
(diffusion models, normalizing flows, invertible NN)
• Very good programming skills in Python and relevant deep learning libraries such as
Pytorch.
• You have excellent communication skills in spoken and written English
• You are willing to travel within Germany and abroad within the scope of your
assignment.
• Advantageous: completed PhD in the field of machine learning or a related technical
discipline
Link: ptb.de
PostDoc at EPFL, Switzerland
EPFL
My lab at EPFL in Switzerland is looking for a PostDoc. Are you're interested in any subset of the following topics?

- LLMs (aspects such as Data, Architectures, Systems, Algorithms and Theory)
- Collaborative & Federated Learning (Applications or Theory)
- Optimization

If so, please send me an email or get in touch at the federated workshop on friday, or the ES-FoMo workshop on saturday.

Our webpage: https://mlo.epfl.ch/

email: martin.jaggi@epfl.ch
Link: https://mlo.epfl.ch/
Data Scientist
ServiceLink
Are you a data enthusiast with a broad understanding and experience with machine learning, artificial intelligence, and advanced multi-media (images and video) processing methods? Skilled in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments. You have experience in creating and implementing machine learning algorithms and advanced statistics and are proficient in statistical computing languages for data analysis — such as Python and R, as well as Deep Learning frameworks such as Tensor Flow, PyTorch. ServiceLink, the unrivaled mortgage industry leader, is in search of a Data Scientist to drive the delivery of technology results and serve as a trusted advisor to our dynamic business This is an exciting time to join ServiceLink, where those at the forefront of technology excel in our entrepreneurship culture focused on empowerment and innovation.

A DAY IN THE LIFE
In this role, you will…
Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap
Understand business requirements and formulate recommend the suitable data driven approach(es) to address them
Compare different data science approaches and pursue the most meaningful alternative based on pros and cons
Gather and process raw data at scale by using statistical packages within Python, R and Cloud Platform
Process unstructured data into a form suitable for analysis – and then do the analysis
Utilize cutting edge algorithms in Natural Language Processing (NLP) and Computer Vision for implementing automation in production. Notions about Bayesian and Kernel methods is a strong plus
Apply both Statistical Modeling and Optimization methods, separately or in combination.
Link: https://careers-svclnk.icims.com/jobs/2529/data-scientist/job?mobile=true&width=390&height=661&bga=true&needsRedirect=false&jan1offset=-600&jun1offset=-600
PhD/intern at Cognitive AI for Science team
national university of Singapore
Embark on an exciting journey with our Cognitive AI for Science team at the National University of Singapore, as we strive to redefine the boundaries of human potential! Our primary areas of focus are 1) the advancement of AI reasoning and imagination, and 2) the application of AI in biomedical sciences. For more information, please visit our website at www.cogai4sci.com To express interest or if you have any queries, feel free to drop me an email at liudianbo@gmail.com or send me a direct message via Whova
Link: www.cogai4sci.com
PostDoc at KAUST
KAUST
Are you interested in working at the intersection of federated learning, large models and practical ML systems?
Do reach out!
See website for publications and example ongoing projects.
Link: https://mcanini.GitHub.io
NMT specialist
XRI
We are looking for someone with extensive experience in Neural Machine Translation, especially for low-resource languages.

Must have PhD or pursuing PhD in NLP or related discipline.
Link: None
Postdoctoral Fellow Position at Carnegie Mellon University
Carnegie Mellon University
The Advanced Agent-Robotics Technology Lab at the Robotics Institute at Carnegie Mellon University is looking for a postdoc in the areas of deep reinforcement learning for multi-agent systems.

Description:
The successful candidate will work on Deep Reinforcement Learning algorithms for single and multi-agent systems, where agents interacting autonomously or with humans. Position open immediately. The expected duration of the position is one to two years with renewals upon review. In particular, the research will involve computational models for (1) coordination and resource allocation in multi-agent systems, (2) making inferences and predictions about the behaviors and activities of other agents and human-agent teams, (2) human-agent teaming.

Qualifications:
- PhD in a field related to AI/ML in particular reinforcement learning in Robotics, CS or related discipline.
- A strong theoretical background in Machine Learning

Application Details:
Applicants should provide the following material via email to Prof. Katia Sycara (katia@cs.cmu.edu). Please use the subject line: “Postdoc application”. Applications will be reviewed as they are received.
- A curriculum vitae
- A statement of research expertise and interests (up to 2 pages)
- Up to 3 publications
- Names and contact information of 2-3 references
- Dates of availability
- A personal website, if available, where further details can be found
PhD position at University of Georgia
University of Georgia
Look for students with solid background in machine learning interested in biology application
Link: None
Openings at Meta Recommendation
Meta
There are multiple openings (Infra, ML system, and algorithm) at Meta Recommendation
Link: None
Startup / Entrepreneur
Translink Capital
Please contact me if you’re curious about startups.

I invest in AI at a VC firm called Translink Capital. We just raised a new fund and invest anywhere between $1-10M in early-stage startups. Some interest areas include federated learning, privacy/security, compression, and multi-modal. Please message me at https://www.linkedin.com/in/kelvinmu to connect.
Link: https://www.linkedin.com/in/kelvinmu
Postdoc researcher
Microsoft Research/ Mila
I might have a postdoc position available to work on one of the following topics:
- Merging LLMs and graphical models, in the direction of our work on Deep Language Networks: https://arxiv.org/abs/2306.12509
- Functional optimization, i.e. how to think of optimization in function space rather than parameter space. An example work in this space is https://arxiv.org/abs/2108.05828
- Model adaptation: how to efficiently fine-tune a model to a new task or transfer knowledge from one model to another.

Please reach out if you want to know more but note that the position is not certain yet.
Joint and Dual Award PhD program
The University of Newcastle
https://www.newcastle.edu.au/study/research/supervisors/joint-and-dual-award-programs
Link: https://www.newcastle.edu.au/profile/stephan-chalup#career
LLM + Recommenders at Google DeepMind
Google DeepMind
If you are interested in working on LLMs and recommender systems (full time), please email me with your CV
Link: https://deepmind.com/
LLM Efficiency at Google DeepMind
Google DeepMind
If you are interested in working on LLM efficiency (full time) and have prior experience here, please email me with your CV
Link: http://deepmind.com
Part-time AI consultant/advisor
Seqnc Inc.
We're a software startup company developing an AI application. I'm looking for a part-time consultant/advisor with a background in intelligent agents, fine tuning LLMs in a specific domain, and machine learning/related technology. This may be a good fit if you're pursuing a PhD and would like to explore a new area (while you continue your other work) and build something cool from scratch. We're very flexible and are open to a structure that works best for your schedule. I'd be delighted to discuss further if you are interested. Please contact me at ashok@seqnc.com.
Internship / Master Thesis on “Optimal Transport, Diffusion Models and Neural Flows for Biomedical applications”
NEC laboratories Europe
Internship / Master Thesis on
“Optimal Transport, Diffusion Models and Neural Flows for Biomedical applications”
Link: https://jobs.neclab.eu/jobs/openings/students/NEC-NLE-2308-124-ISS-2-Internship_or_Master_Thesis_on_Optimal_Transport_Diffusion_Models_and_Neural_Flows_for_Biomedical_applications_%5b2023-08-124-ISS%5d.pdf
Postdoc in Computational Biology/Stat-ML
Columbia University, Department of Statistics
2 postdoc positions available in ML + science, in the Dumitrascu Group @ Columbia University

- digital twins for developmental biology: inverse design for epithelial sheet folding (topics: diffusion models, inverse RL, GNNs, light sheet microscopy)
- interventional causal representation learning for wound healing (topics: CRISPR, contrastive learning, active learning)
PhD in Federated Learning
University Bochum
Full PhD position at the University Bochum in the Trustworthy Machine Learning group in cooperation with the Institute for AI in Medicine of the University Hospital Essen.
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