Meta is seeking a Research Scientist Manager to lead the Meta Superintelligence Labs, focusing on building and shipping personal superintelligence. This role requires a blend of research expertise, people management skills, and the ability to drive execution on complex AI challenges. The manager will oversee teams working on large-scale AI problems, ensuring engineering reliability and scalability. Candidates should be adaptable and thrive in fast-paced research environments.

• PhD degree in Computer Science, Machine Learning, or a related technical field
• 6+ years of industry experience in AI research, machine learning, or a closely related technical field
• 4+ years of experience managing teams of researchers or engineers, including experience managing other technical leaders or managers
• Experience working on frontier-quality/state-of-the-art Large Language Models with deep, practical experience in LLM post-training
• Demonstrated ability to balance hands-on technical work with people management and strategic planning
• Experience communicating technical strategy and research direction to cross-functional stakeholders
• Publications at peer-reviewed venues related to deep learning, language models, or data-centric AI

• Build, mentor, and grow a team of research scientists and research engineers
• Oversee work across the full LLM post-training stack and influence the technical roadmap and research direction
• Translate ambiguous user and product needs into tractable research questions, technical plans, and measurable outcomes
• Lead complex cross-functional projects end-to-end
• Maintain technical credibility through hands-on contributions to critical projects, including reviewing code and providing technical guidance
• Define and maintain clear research quality standards and engineering best practices for the team

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.