Meta is seeking Research Scientists to join the Evaluations team within Meta Superintelligence Labs. This role involves developing and validating evaluations that shape AI capability measurement, requiring strong scientific judgment and creativity. The evaluations will influence research direction and model lines, making collaboration and clear communication essential.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD degree in Computer Science, Machine Learning, or a related technical field
• 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
• Proficiency in Python and experience with ML frameworks such as PyTorch
• Experience identifying, designing and completing medium to large technical features independently, without guidance
• Proven success in software engineering practices including version control, testing, and code review practices
• Ability to work independently and adapt to rapidly changing priorities

• 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
• Collaborate with external data vendors to source and prepare high-quality evaluation datasets
• Execute on the technical vision of research scientists designing new benchmarks and evaluations
• Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
• Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.