AI Safety Lead — Research, Evaluation & Governance

Best AI Tools Wiki; Greater London; Hybrid; GBP 180,000 - 240,000; Full time

Benefits offered by this job

Relocation to London supported

Private healthcare for family

Generous research budget

Sabbatical program

Leadership equity package

Job summary

Google DeepMind seeks a senior leader to head its AI Safety team in London, shaping evaluation frameworks, red-teaming methods, and safety guardrails for Gemini models. You will set the research agenda, collaborate with policy groups, and oversee safe deployment of frontier AI systems.

Relocation to London is supported; compensation is aligned with L7+ levels, with leadership equity and a generous research budget to enable world‑class safety research.

Qualifications

• 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.
• Publications in AI safety, alignment, or robustness.
• Experience with safety evaluation at scale.

Responsibilities

• Lead AI Safety team's research direction and agenda.
• Develop evaluation frameworks, red-teaming methodologies, and safety guardrails for frontier models.
• Collaborate with policy teams to align research with governance considerations.
• Ensure safe deployment of advanced AI systems.

Skills

AI Safety

Leadership

Research

Red-Teaming

Evaluation

Policy

Education

PhD in Computer Science / AI

Job description

Google DeepMind seeks a senior leader to head its AI Safety team in London, shaping evaluation frameworks, red-teaming methods, and safety guardrails for Gemini models. You will set the research agenda, collaborate with policy groups, and oversee safe deployment of frontier AI systems.

Relocation to London is supported; compensation is aligned with L7+ levels, with leadership equity and a generous research budget to enable world‑class safety research.