Lead Google DeepMind's AI Safety team in developing evaluation frameworks, red-teaming methodologies, and safety guardrails for Gemini models. You will set the research agenda, collaborate with policy teams, and ensure safe deployment of frontier AI systems.
Requirements
- 8+ years in AI/ML with 3+ years in safety or alignment
- PhD in Computer Science, AI, or related field
- Track record of leading research teams
- Published work in AI safety, alignment, or robustness
- Experience with safety evaluation at scale
Nice to Have
- Experience with AI governance and policy
- Background in formal verification or testing
- International collaboration experience
- Media or public communication experience
Google L7+ compensation
Leadership equity package
Relocation to London supported
Private healthcare for family
Generous research budget
Sabbatical program
Skills
AI Safety Leadership Research Red-Teaming Evaluation Policy
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