Data Scientist, Meta Superintelligence Labs (Safety)

Meta; San Francisco (CA); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta's Safety team within Meta Superintelligence Labs (MSL) seeks a Data Scientist to build the analytical foundation for scalable safety as AI capabilities grow. You will quantify risks, design measurement systems, and partner with policy, legal, product, and engineering to guide interventions and risk mitigation.

You will implement scalable evaluation methodologies, develop dashboards and signals for real-time monitoring, and collaborate across cross-functional teams to translate complex risks

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering or equivalent practical experience.
• Master's or Ph.D. degree in a quantitative field is preferred.
• 6+ years analytics experience (4+ years with a Ph.D.).
• Proficient with data querying languages (SQL), scripting (Python), and statistical software (R).
• Experience in frontier AI, Trust & Safety or Fraud/Risk domains is a plus.

Responsibilities

• Measure abuse: build statistical telemetry and measurement frameworks to detect and monitor policy violations or emergent harms.
• Scale model evaluation: design scalable frameworks for evolving agentic model safety and risk assessment.
• Evaluate and optimize safeguards: assess offline/online performance of safeguards with human-in-the-loop and active learning.
• Design experiments and analyses: conduct controlled experiments and rollouts to evaluate policy or risk changes.
• Build intelligence and reporting: create signals, pipelines, dashboards for real-time safety monitoring and interventions.

Skills

Statistical analysis

Causal inference

Experimental design

Cross-functional collaboration

Education

Bachelor's degree in CS/Math/Statistics/Engineering or equivalent practical experience

Master's or Ph.D. in a quantitative field

Tools

SQL

Python

R

Job description

We're seeking Data Scientists to join the Safety team within MSL (Meta Superintelligence Labs).As a Data Scientist in Safety, you will establish the analytical foundations that allow us to advance personal superintelligence safely and securely. You will help us turn complex, ambiguous risks with incomplete ground truth into measurable systems across model evaluations and online monitoring. You'll work with engineering, research, product, policy, and legal to design and build measurement and mitigation strategies, quantifying trade-offs between user friction and safety risks.Data Scientist, Meta Superintelligence Labs (Safety) Responsibilities:Measure abuse: build statistical telemetry and measurement frameworks to detect and monitor policy violations or emergent harmsScale model evaluation: design a scalable framework adapting to evolving agentic model capabilities and safety/risk landscape, grounded in statisticsEvaluate and optimize safeguards: scale offline and online performance evaluation of our safeguards using human-in-the-loop and active learningDesign experiments and analyses: Conduct controlled experiments and rollouts to evaluate the impact of policy or risk definition changes and safety mitigationsBuild intelligence and reporting: build signals, pipelines, dashboards to enable real-time monitoring driving interventions and safety roadmapsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceBachelor's degree in Mathematics, Statistics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceA minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)Preferred Qualifications:Experience in frontier AI products or risks, and navigating online, adversarial environments in Trust & Safety or Fraud/Risk/Security domains. Model evals, threat modelling, actor telemetry, human-in-the-loop review systems don’t sound foreign to youFamiliar with fast-paced, high-ambiguity, cross-functional environments – able to jump from agentic trace deep-dives to explaining risk dimensions in plain English to policy stakeholdersBackground in ambiguous and sparse data environments to operationalize e.g. harm prevalence measurement, causal inference, root-cause analysis– rooted in strong quantitative/statistical foundationsMaster's or Ph.D. Degree in a quantitative fieldExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout 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 [e-mail].$177,000/year to $247,000/year + bonus + equity + benefitsIndividual 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.