Frontier AI Safety & Research Engineering Manager

Google LLC

Greater London

Hybrid

GBP 150,000 - 210,000

Full time

32 hours ago
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Benefits offered by this job

Equity program

Job summary

Google DeepMind is seeking a Research Engineering Manager for the Responsible Frontier AI Research team in London. You will lead a team of Research and Software Engineers to build engineering foundations for responsible AI research, including automated platforms for discovering and mitigating jailbreaks, red-teaming tools, and safety evaluations.

You will balance research experiments with scalable infrastructure, hire and develop top talent, and collaborate with cross-functional teams across

Qualifications

  • Experience leading teams on AI safety, security, or responsible AI research.
  • Experience with automated red teaming, jailbreak discovery, and evaluation design.
  • Track record of research or engineering achievements in peer-reviewed venues or open-source.

Responsibilities

  • Set and communicate priorities for multiple workstreams within the responsibility organization.
  • Hire, mentor, and grow a high-performing team; manage performance and development.
  • Develop long-term technical goals and roadmaps for evaluation pipelines, red-teaming tools, and mitigation training.
  • Oversee system designs, code quality, scalability, and secure handling of data.
  • Collaborate with Researchers, Product, Policy, and Trust & Safety to inform model launch decisions.

Skills

AI safety leadership
Red teaming & evaluation

Education

Master's or PhD in Engineering/CS with AI/ML security focus

Tools

Red-teaming tools
Evaluation tooling

Job description

Google DeepMind is seeking a Research Engineering Manager for the Responsible Frontier AI Research team in London. You will lead a team of Research and Software Engineers to build engineering foundations for responsible AI research, including automated platforms for discovering and mitigating jailbreaks, red-teaming tools, and safety evaluations.

You will balance research experiments with scalable infrastructure, hire and develop top talent, and collaborate with cross-functional teams across

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