Postdoctoral Researcher (PhD) - FAIR - Core Learning
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Before you apply
LocationParis, France
Typetemporary
SeniorityEntry
DepartmentAI Research
Company size10,000+ people
PostedJul 27, 2026 · 3mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Currently possess or be pursuing a PhD in Computer Science, Mathematics, or a similar quantitative discipline
Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage
Expertise in RL for LLMs and/or Lean (formal mathematics)
Holds first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
Must be able to obtain and maintain work authorization in the country of employment
Skills
Python
About the role
Meta’s Fundamental AI Research (FAIR) organization is seeking a postdoctoral researcher to drive advancements in generative models, with a particular focus on Reinforcement Learning in large language models (LLMs) and/or formal math (Lean).
Responsibilities
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Innovate, lead, and execute pioneering research to push the state-of-the-art in generative models and LLM performance
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Systematically perform independent research, quickly adapting to new developments in the field
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Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
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Contribute to publications, open-sourcing initiatives, and mentor other team members
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Ensure effective cross-functional collaboration
Minimum qualifications
•
Currently possess or be pursuing a PhD in Computer Science, Mathematics, or a similar quantitative discipline
•
Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage
•
Must be able to obtain and maintain work authorization in the country of employment
Preferred qualifications
•
Expertise in RL for LLMs and/or Lean (formal mathematics)
•
Holds first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)