AI Research Scientist - FAIR Social Intelligence Job Seattle area,Washington USA,Research/Development

Summary

We are seeking a Research Scientist to contribute to our initiatives in Social Intelligence within complex multi-agent ecosystems. You will bridge the gap between centrally orchestrated multi-agent systems and social reasoning paradigms within cognitive science. You will drive 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 be apart of 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 goals, while identifying intermediate milestones

Influence progress of relevant research communities by producing publications

Minimum Qualifications

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

Preferred Qualifications

Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code

Experience collaborating in a team environment on research projects

Experience in applying AI systems to solve science and engineering problems

Public Compensation

$154,000/year to $217,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

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