Meta's FAIR organization is looking for a Research Scientist to advance generative models, focusing on data efficiency and continual learning in large language models. The role encompasses research, engineering, and deployment for both product and frontier model efforts.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in Computer Science, Mathematics, or a similar 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

• 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

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.