AI Research Scientist - FAIR Social Intelligence

Job description

We are seeking a Research Science Lead to spearhead our initiatives in Social Intelligence within complex multi-agent ecosystems. In this pivotal leadership role, you will bridge the gap between centrally orchestrated multi-agent systems and social reasoning paradigms within cognitive science. You will direct a portfolio of research focused on enabling autonomous agents to navigate the "coordination bottleneck" through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors such as cooperation, coordination, negotiation, persuasion, etc. By synthesizing principles from reinforcement learning, game theory and behavioral science, you will lead an experienced team in to make agents capable of sophisticated alignment, ensuring that agents can operate seamlessly—and ethically—within the intricate social fabric of human-centric environments. Responsibilities: 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 goa...