AI Research Scientist

Meta; Paris; On-site; EUR 120,000 - 180,000; Full time

Job summary

Meta is seeking a Research Scientist to join FAIR, focused on advancing LLM reasoning with reinforcement learning and advanced scaffolding/agentic techniques.

You will work with an interdisciplinary team of scientists and engineers, contribute to experiments and publications, and mentor colleagues while shaping ambitious long-term research goals.

Qualifications

• PhD in Computer Science, Mathematics, or a related quantitative field.
• First-author publications at peer-reviewed AI conferences (NeurIPS, ICML, ICLR).
• Experience training/fine-tuning foundation models beyond black-box use.
• Experience with SOTA RL codebases and DL frameworks (e.g. PyTorch, VERL).

Responsibilities

• Lead and collaborate on research advancing LLM reasoning.
• Plan long-term goals with intermediate milestones.
• Design experiments, implement reusable code, run evaluations, organize results.
• Contribute to publications and open-source efforts.
• Mentor team members and collaborate cross-functionally.

Skills

LLM reasoning

Reinforcement learning

Collaborative research

Mentorship

Education

PhD in Computer Science/Mathematics

Tools

PyTorch

VERL

Job description

About

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in LLMs reasoning with specific focus on reinforcement learning, informal and formal math and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Responsibilities

• Lead, collaborate, and execute on research that pushes forward the state of the art in LLM reasoning
• Work towards long-term ambitious research goals, while identifying intermediate milestones
• Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
• Contribute to publications and open-sourcing efforts
• Mentor other team members and actively contribute to cross-functional collaboration

Minimum Qualifications

• Currently has or is in the process of obtaining a PhD in Computer Science, Mathematics, or a similar quantitative field
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR)
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
• Experience working with SOTA RL codebases and familiarity with one or more deep learning frameworks (e.g. pytorch, VERL, …)
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Experience with LEAN