Frontier AI Safety & Governance Scientist

Google DeepMind

San Francisco (CA)

On-site

USD 207,000 - 300,000

Full time

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Job summary

Google DeepMind in San Francisco is seeking a research scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). You will coordinate with policy and governance teams to address emerging risks and advancement opportunities in frontier AI.

You will build risk models, contribute to safety reports, mentor researchers, and help shape deployment strategies while advancing an inclusive and ethically guided research program.

Qualifications

  • PhD in Economics, Philosophy, or STEM or equivalent practical experience.
  • 3 years of research experience in frontier AI safety or governance.

Responsibilities

  • Develop FSF research and write updates of the FSF to adapt to changing safety, governance, and policy opportunities and needs.
  • Research and model pre-mitigation risks to ground our empirical risk assessment work and inform safeguard development.
  • Work across evaluation and mitigation teams to assess the extent to which safeguards have reduced risk, and whether they are adequate for further development and deployment of frontier models.
  • Manage a team of researchers and cross-functional collaborators working on projects, and represent the risk assessment program in internal and external governance.
  • Write our external safety reports, and work with appropriate policy/governance teams to strengthen the frontier AI governance ecosystem.

Skills

Communicate complex technical topics
Project leadership
Quantitative reasoning

Education

PhD or equivalent (Economics/Philosophy/ET STEM)

Job description

Google DeepMind in San Francisco is seeking a research scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). You will coordinate with policy and governance teams to address emerging risks and advancement opportunities in frontier AI.

You will build risk models, contribute to safety reports, mentor researchers, and help shape deployment strategies while advancing an inclusive and ethically guided research program.

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