AI Research Scientist - FAIR Social Intelligence

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$154K-$217K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

59% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Research Scientist - FAIR Social Intelligence Bellevue, WA; Seattle, WA 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

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.