AI Research Scientist - FAIR Social Intelligence

Job Description

Meta is looking for a Research Science Lead to advance Social Intelligence in multi-agent ecosystems. This role involves bridging multi-agent systems with cognitive science, focusing on developing autonomous agents capable of sophisticated social behaviors. The position requires leading a team to synthesize principles from various fields to ensure ethical operation within human-centric environments.

Requirements

First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics
Experience in developing and debugging in Python or similar programming languages

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 goals, while identifying intermediate milestones
Influence progress of relevant research communities by producing publications

Benefits

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.

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