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.
Postdoctoral Researcher (PhD) - FAIR - Core Learning 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 Py Torch:

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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