Research Scientist, FAIR Core Learning and Reasoning

Meta; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Meta's Fundamental AI Research organization is seeking a Research Scientist to drive advancements in generative models and LLM performance, with a focus on data efficiency and continual learning.

The role spans research, engineering, and deployment for product and frontier models, requiring collaboration across teams, publication activity, and mentoring.

Qualifications

• Bachelor's degree in CS/related field.
• PhD in CS, mathematics, or related quantitative discipline.
• First-author publications at NeurIPS/ICML/ICLR.
• Experience with training and fine-tuning foundation models.
• Familiarity with PyTorch.

Responsabilités

• Lead and execute research to advance generative models and LLM performance.
• Design experiments, implement reusable code, run evaluations, and organize results.
• Contribute to publications and open-sourcing initiatives.
• Mentor other team members and collaborate with cross-functional teams.
• Stay updated with new developments and adapt research directions.
• Help deploy research across product and frontier model efforts.

Connaissances

Research ability

Communication

Mentoring

Cross-functional collaboration

Formation

Bachelor's degree in CS/related field

PhD in CS/Mathematics/related field

Outils

PyTorch

Description du poste

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 Responsibilities:Lead and execute research to advance the state-of-the-art in generative models and LLM performanceSystematically perform independent research, quickly adapting to new developments in the fieldDirectly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing resultsContribute to publications, open-sourcing initiatives, and mentor other team membersEnsure effective cross-functional collaborationMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD in Computer Science, Mathematics, or a related quantitative disciplineHold 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 usageFamiliarity with PyTorchMust be able to obtain and maintain work authorization in the country of employmentPreferred 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 stakeholdersAbout 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.