AI Research Scientist, Audio-Visual Understanding, FAIR
Meta - Menlo Park, CA; New York, NY; San Francisco, CA
Posted Jun 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- 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)
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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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
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, Audio-Visual Understanding, FAIR Menlo Park, CA; New York, NY; San Francisco, CA Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities. Responsibilities: - Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception - Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs - Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions - Train and optimize state-of-the-art machine learning and neural network methodologies - Conduct and collaborate on research projects within a globally-based team 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 - Experience holding an industry, postdoctoral, faculty, or government researcher position - Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas - Research publications reflecting experience in theoretical or empirical research -
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