Research Scientist, FAIR Core Learning and Reasoning

Meta; Paris; On-site; EUR 90,000 - 150,000; Full time

Job summary

Meta's Fundamental AI Research organization seeks a Research Scientist in Paris to advance generative models and LLM performance across research, engineering, and deployment efforts for product and frontier models.

You will lead independent research, design experiments, implement reusable code, evaluate results, and contribute to publications and open-source work, while mentoring teammates and coordinating with other teams.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field; equivalent practical experience.
• PhD in Computer Science, Mathematics, or related 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.

Responsibilities

• Lead and execute research to advance generative models and LLM performance.
• Systematically perform independent research and adapt to new developments.
• Contribute to the experimental process: design details, implement reusable code, run evaluations, organize results.
• Contribute to publications, open-sourcing initiatives, and mentor team members.
• Ensure effective cross-functional collaboration.

Skills

First-author publications

Independent research

Experiment design

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD in Computer Science, Mathematics, or a related quantitative discipline

Tools

PyTorch

Job description

Meta's Fundamental AI Research 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 Core Learning and Reasoning

• 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

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science, Mathematics, or a related quantitative discipline
• Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
• 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, Experience communicating research findings and complex technical ideas through publications, presentations, or design documents to both technical and non-technical stakeholders

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 WhatsApp 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.