Meta is seeking a Research Scientist to advance Social Intelligence in multi-agent ecosystems. The role involves bridging multi-agent systems with cognitive science, focusing on developing autonomous agents capable of sophisticated social behaviors through reinforcement learning and game theory.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in AI, computer science, data science, science/engineering, or related technical fields
• First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
• 1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
• Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics
• Experience in developing and debugging in Python or similar programming languages

• Perform research to advance the state of the art in our multi-agent ecosystem
• Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones
• Influence the future of research in frontier modeling with detailed technical reports
• Work towards long-term goals, while identifying intermediate milestones
• Influence progress of relevant research communities by producing publications

• 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.