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 highly technical research role requiring sound 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:

• Design novel benchmarks and evaluation methodologies for frontier AI capabilities
• Contribute to evaluation frameworks that guide research direction and capability development across MSL
• Support the scientific vision for evaluation approaches in emerging modalities and novel model capabilities
• Partner with cross-functional research teams across product and model training to identify and prioritize gaps in capability through rigorous evaluation
• Execute on research workstreams that shape the long-term direction of evaluation science at MSL, working independently while also contributing to team goals and organizational priorities
  
  

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a Ph.D. in Computer Science, Machine Learning, or a related technical field
• PhD research and/or industry research experience in machine learning research, with a focus on evaluation, deep learning, or related areas
• Demonstrated ability to work on technical research projects from conception to production
• Excellent communication skills and experience collaborating with technical leadership
  
  

Preferred Qualifications:

• Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
• Recognized expertise in machine learning evaluation, benchmarking, or capability measurement
• Track record of research that has substantially influenced the field of deep learning
• Hands-on experience with language model post-training, RLHF, or related techniques
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

$122,000/year to $181,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.