AI Research Scientist - MSL FAIR Foundations

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

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Childcare support

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Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$184K-$257K 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

89% 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

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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

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Research Scientist - MSL FAIR Foundations Menlo Park, CA Meta is seeking Research Scientists to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Scientist, you will provide the technical capabilities to measure and understand the capabilities of our frontier AI systems. You'll work in tandem with world-class researchers to envision, develop, and validate novel evaluations that shape the future of AI capability measurement. This is a technical research role requiring good scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The evaluations you develop will directly influence research direction and major model lines within MSL, making scientific validity, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure evaluations capture the most important capabilities, translating organizational priorities into measurable benchmarks, and translating evaluation insights back into research direction. We are looking for exceptional research talent - researchers who have shaped the field of machine learning, and are ready to do so again at the frontier of AI. If you are passionate about defining how we measure AI progress and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL. Responsibilities: - Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development -

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