Frontier AI Risk & Governance Scientist

Google DeepMind; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is hiring a research scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). This role develops risk assessments for frontier AI and informs safeguards and deployment decisions.

You will collaborate with policy and governance teams, publish safety reports, and guide a team of researchers across projects to strengthen frontier AI governance. A PhD and relevant experience are preferred.

Qualifications

• PhD in Economics, Philosophy, or a STEM subject, 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 safeguards effectiveness for deployment.
• Manage a team of researchers and cross-functional collaborators and represent the risk assessment program.
• Write external safety reports and collaborate with policy/governance teams to strengthen frontier AI governance.

Skills

Communication of complex topics

Project management in research

Quantitative reasoning in uncertain**

Education

PhD in Economics/Philosophy/STEM

Job description

Google DeepMind is hiring a research scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). This role develops risk assessments for frontier AI and informs safeguards and deployment decisions.

You will collaborate with policy and governance teams, publish safety reports, and guide a team of researchers across projects to strengthen frontier AI governance. A PhD and relevant experience are preferred.