Postdoctoral Researcher (PhD) - FAIR - Core Learning

Meta's Fundamental AI Research (FAIR) organization is seeking a postdoctoral researcher 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.Responsibilities

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

Minimum Qualifications

Currently possess or be pursuing a PhD in Computer Science, Mathematics, or a similar quantitative discipline

Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage

Must be able to obtain and maintain work authorization in the country of employment

Preferred Qualifications

Ability to communicate complex ideas with peers

Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)

Familiarity with PyTorch