AI Research Scientist, Video Generation and Post Training, FAIR

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

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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

AI Research Scientist, Video Generation and Post Training, FAIR Menlo Park, CA; Seattle, WA; New York, NY Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team within Meta Superintelligence Labs (MSL). Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for researchers with expertise in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. Responsibilities: - Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning - Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization - Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI - Contribute to the development and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field - Demonstrated expertise in video generation, computer vision, or multimodal AI - Experience with large-scale model training, post-training optimization techniques, and data curation - Publication record in relevant fields Preferred qualifications: - Demonstrated research and software engineering experience

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