Research Scientist, FAIR

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.

Research Scientist, FAIR 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 Ph

D in Computer Science, Mathematics, or a similar quantitative discipline

Hold first-author publications at peer-reviewed AI conferences (e.g., Neur

IPS, ICML, ICLR)

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

Familiarity with Py

Torch

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

Preferred Qualifications:Ability to communicate complex ideas with peers

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.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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