Research Scientist, FAIR Core Learning and Reasoning
Meta· Artificial Intelligence
Paris, FranceFull-timePosted 2mo ago
About the role
Research Scientist role at Meta’s Fundamental AI Research organization focusing on generative models and fundamental topics (data efficiency, continual learning) in large language models (LLMs) research, spanning research, engineering, and deployment for product and frontier model efforts.
Responsibilities
- Lead and execute research to advance 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD in Computer Science, Mathematics, or a related quantitative discipline
- Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
- Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage
- Familiarity with PyTorch
- Must be able to obtain and maintain work authorization in the country of employment
Skills
Required:Research leadership and executionIndependent researchExperiment design and implementationCross-functional collaborationFoundation models training and fine-tuningPyTorch
Nice to have:Publications and dissemination
Last updated Oct 23, 2026. Interested? Apply on the company site.
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