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Postdoctoral Researcher (PhD) - FAIR - Core Learning

Meta
Paris, FranceFull TimeEntry-levelPosted Today
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
Innovate, lead, and execute pioneering research to push the state-of-the-art in generative models and LLM performance
* Systematically perform independent research, quickly adapting to new developments in the field
* Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
* Contribute to publications, open-sourcing initiatives, and mentor other team members
* Ensure effective cross-functional collaboration

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 Expertise in RL for LLMs and/or Lean (formal mathematics)
* Holds first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
Ready to apply? You'll be taken to Meta's application page.
Postdoctoral Researcher (PhD) - FAIR - Core Learning at Meta