**Summary:**
Meta's Fundamental AI Research (FAIR) organization is seeking a Research Scientist to drive advancements in generative models, with a particular focus on fundamental topics (data efficiency, continual learning) in large language models (LLMs) research. The role involves working across the full spectrum of research, engineering, and deployment for both product and frontier model efforts.
**Required Skills:**
Research Scientist, FAIR Responsibilities:
1. Lead and execute research to advance the state-of-the-art in generative models and LLM performance
2. Systematically perform independent research, quickly adapting to new developments in the field
3. Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
4. Contribute to publications, open-sourcing initiatives, and mentor other team members
5. Ensure effective cross-functional collaboration
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently has, or is in the process of obtaining, a PhD in Computer Science, Mathematics, or a relevant field
7. Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
8. Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage
9. Familiarity with PyTorch
10. Must be able to obtain and maintain work authorization in the country of employment
**Preferred Qualifications:**
Preferred Qualifications:
11. Expertise in Reinforcement Learning
12. Expertise in Formal Math (Lean)
13. Experience communicating complex technical ideas through written artifacts such as research papers, design documents, or technical presentations
**Industry:** Internet
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