Data Scientist, Meta Superintelligence Labs (Safety)

About the job

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.

Responsibilities

Measure abuse: build statistical telemetry and measurement frameworks to detect and monitor policy violations or emergent harms Scale model evaluation: design a scalable framework adapting to evolving agentic model capabilities and safety/risk landscape, grounded in statistics Evaluate and optimize safeguards: scale offline and online performance evaluation of our safeguards using human-in-the-loop and active learning Design experiments and analyses: Conduct controlled experiments and rollouts to evaluate the impact of policy or risk definition changes and safety mitigations Build intelligence and reporting: build signals, pipelines, dashboards to enable real-time monitoring driving interventions and safety roadmaps