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AI Research Scientist - MSL FAIR Foundations

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-10-18
Job specializations:
  • Research/Development
    AI Evaluation, Research Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
# AI Research Scientist - MSL FAIR Foundations Menlo Park, CA Artificial Intelligence+ 1 more Apply nowMeta 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.

---## AI Research Scientist - MSL FAIR Foundations Responsibilities
* Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
* Develop and implement evaluation environments, including environments for novel model capabilities and modalities
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