Postdoctoral Researcher (PhD) - FAIR - Core Learning

Meta; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits package

Résumé du poste

Meta's Fundamental AI Research (FAIR) organization is seeking a postdoctoral researcher focusing on advancements in generative models and large language models (LLMs). The role encompasses research, engineering, and deployment efforts for both product and frontier models.

The successful candidate will lead pioneering research, adapt to new developments, and contribute to publications while mentoring team members. Candidates must possess or be pursuing a PhD in a relevant field, with required experience in training foundation models.

Qualifications

• Currently possess or be pursuing a PhD in a quantitative discipline.
• Demonstrated experience with training and experimentation on foundation models.
• Must be able to obtain and maintain work authorization.

Responsabilités

• Lead research on generative models and LLM performance.
• Conduct independent research and adapt to field developments.
• Contribute to publications and mentor other team members.

Connaissances

Research in generative models

Collaboration skills

Adaptability to new developments

Mentorship

Formation

PhD in Computer Science or Mathematics

Outils

PyTorch

Description du poste

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 PyTorch

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.