AI Research Scientist - FAIR Social Intelligence Job New York New York USA,Research/Development

Location: New York

Overview

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 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

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

Compensation and Benefits

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

Industry: Internet

Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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