Meta
Data Scientist, Meta Superintelligence Labs (Safety)
$177K–$247K
Menlo Park, CA +1 · Full-time · Posted Aug 21, 2026
- Location
- Menlo Park, CA
San Francisco, CA - Experience
- At least 6 years of analytics work experience; at least 4 years with a Ph.D.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a relevant technical field, or equivalent practical experience. Master's or Ph.D. degree in a quantitative field is also listed.
About the job
Build statistical measurement, evaluation, and monitoring systems to detect safety risks and assess safeguards for Meta’s AI products.
What you'll do
- Develop telemetry and measurement frameworks to detect policy violations and emergent harms, and build monitoring signals, pipelines, and dashboards.
- Design scalable model evaluations and assess safeguard performance using offline and online methods, human-in-the-loop review, and active learning.
- Run experiments and analyses to evaluate policy changes and safety mitigations, and communicate findings across teams.
What they ask for
- Bachelor's degree in a relevant technical field or equivalent practical experience.
- At least 6 years of analytics work experience, or at least 4 years with a Ph.D.
- Experience with data querying or scripting languages and/or statistical or mathematical software.
- Experience with frontier AI products or risks and adversarial online environments in Trust & Safety or Fraud/Risk/Security.
Nice to have
- Master's or Ph.D. degree in a quantitative field.
- Experience implementing responsible AI practices and using AI tools to improve workflows.
Pay
$177,000/year to $247,000/year USD base salary; bonus and equity also stated, amounts unspecified.
Tools
SQL, Python, R
AI focus
Safety measurement and model evaluation for frontier and agentic AI; safeguard assessment, risk mitigation, and AI-assisted workflow improvement.
Model-written summary · the original posting is authoritative