Research Scientist, Generative AI & LLMs (Data Efficiency)

Meta; Paris; Hybride; EUR 150 000 - 200 000; Plein temps

Résumé du poste

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.

The position requires a PhD, first-author publications at top AI conferences, and experience with training and

Qualifications

• PhD in Computer Science, Mathematics, or a similar quantitative discipline.
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR).
• 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.
• Ability to conduct independent research and communicate complex ideas with peers.

Responsabilités

• Drive advancements in generative models, with a focus on data efficiency and continual learning in LLM research.
• Work across research, engineering, and deployment for product and frontier model efforts.

Connaissances

Independent research

Communication

PyTorch familiarity

Experimentation

Formation

PhD in Computer Science or Mathematics

Outils

PyTorch

Description du poste

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.

The position requires a PhD, first-author publications at top AI conferences, and experience with training and