AI Research Scientist
Meta· Artificial Intelligence
ParisFull-timePosted 2w ago
About the role
Research Scientist role in Meta's Fundamental AI Research (FAIR) focused on advances in LLM reasoning with emphasis on reinforcement learning, informal/formal math, and advanced scaffolding/agentic techniques. Collaborate with interdisciplinary teams, access cutting-edge resources, and contribute to publications and open-source efforts.
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
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
Skills
Required:PhD in Computer Science, Mathematics, or similarFirst-author publications at NeurIPS, ICML, ICLRTraining/fine-tuning/foundation modelsSOTA RL codebasesDeep learning frameworks
Last updated Oct 23, 2026. Interested? Apply on the company site.
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