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Fundamental AI Researcher - FAIR

Meta - Menlo Park, CA; Seattle, WA; New York, NY

Posted Jun 4, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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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)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

66% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function
Data 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
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Fundamental AI Researcher - FAIR Menlo Park, CA; Seattle, WA; New York, NY Meta is seeking a researcher to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. The FAIR RAM (Reasoning, Alignment, Memory) team focuses on research in developing learning algorithms with enhanced reasoning, memory and alignment methods. Our current projects span improved learning objectives, self-supervised learning objectives, higher-level reasoning, and new memory techniques. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. Responsibilities: - Perform research to advance the science and technology of intelligent machines, particularly on topics around reasoning, alignment and memory - Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities) - Work towards long-term research goals, while identifying immediate milestones - Influence progress of relevant research communities by producing publications - Open source high quality code and produce reproducible research 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, or related technical fields - 2+ years of industry or equivalent PostDoctoral experience in relevant research areas, such as: machine learning, optimization, computer vision, natural language processing - First-authored publications at peer-reviewed conferences, such as ACL, EMNLP, NeurIPS, ICML, ICLR and other similar venues - Experience holding an industry, postdoctoral,

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