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Posted on 6 October 2026
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Meta's Fundamental AI Research (FAIR) organization is seeking a Research Engineer 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
Lead and execute research to advance 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
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
Preferred Qualifications
Ability to conduct independent research, communicate complex ideas with peers
Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
About Meta
Meta concentrates its European engineering in Dublin, London and Paris, working on infrastructure, AI and core product. Headcount has been volatile since 2022, so treat the size of the board as a snapshot rather than a trend.