Back to jobs
Job Description
- Lead complex, multi-quarter initiatives to expand our content safety infrastructure. Manage ambiguous issues, such as integrating specialized safety classifiers or building rapid response capabilities for AI abuse vectors.
- Partner with cross-functional leaders to convert emerging threat intelligence and safety objectives into scalable, production-ready models and technical protections within our serving stack.
- Orchestrate the strategy and execution of our Safety Engineering teams. Ensure our programs tangibly reduce abuse prevalence, improve user safety metrics, and optimize the person hours required for model training and deployment.
- Manage global workflows, coordinating with regional teams to ensure continuous coverage, seamless handoffs, and timely integration and evaluation of safety models for business-critical Gemini releases.
- Coordinate between Infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models.