- Meta
- Paris, IDF
- Full-Time
- 4 days ago
Research Engineer, FAIR SGT - Paris.
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Research Engineer, FAIR SGT - Paris: our view in 3 lines...
- The Role:This role is for a research engineer working on generative models and large language models at Meta’s FAIR organisation.
- The Person:The person will lead research on generative models and LLM performance, design and run experiments, write reusable code, organise results, contribute to publications and open-source work, and mentor team members.
- Requirements:The ideal candidate has experience with training, fine-tuning and experimentation on foundation models, familiarity with PyTorch, and first-author publications at peer-reviewed AI conferences such as NeurIPS, ICML or ICLR.
About the role
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)