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Meta · Paris, Île-de-France, France

Postdoctoral Researcher (PhD) - FAIR - Core Learning

full timePosted 7 days ago
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Stack mentioned

reinforcement-learningllma/b-testing

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).

Postdoctoral Researcher (PhD) - FAIR - Core Learning 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

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)

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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