Related skills
security distributed systems observability detection model_distillationπ Description
- Lead a team building detection + mitigation for frontier model misuse.
- Set roadmap: prioritize, design, ship, iterate, measure impact.
- Build production systems: services, pipelines, tooling, observability.
- Partner with Research and Product to deploy tests and mitigations at scale.
- Drive architecture, reliability, monitoring, and operational excellence.
- Hire and grow backend, data systems, and applied ML engineering teams.
π― Requirements
- Experience building systems in adversarial, fast-evolving environments.
- Comfort with ambiguity and novelty.
- Experience adjacent to security: abuse prevention, fraud, and platform defense.
- Clear communication with senior stakeholders; pragmatic and collaborative.
- Significant experience leading engineering teams delivering production systems end-to-end.
- Strong judgment in system design, distributed systems, data pipelines, observability.
π Benefits
- Mission-driven AI safety focus.
- Collaborative, cross-functional teams with Research/Product/Security.
- Opportunity to work on high-scale real-time systems.
- Equal opportunity employer.
- Reasonable accommodations for applicants with disabilities.
- Committed to safety and responsible AI.
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