Frontier AI Risk Modeling Scientist - Governance & Impact

Google; New York (NY); On-site; 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). You will drive research, model AI severe risks, and represent the program in governance discussions and model launch processes.

The role emphasizes collaboration with policy teams, publication of safety reports, and advancing FSF across safety and governance domains in a fast-evolving AI landscape.

Qualifications

• PhD 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 (e.g. by defining FSF thresholds) 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 topics

Lead research projects

Quantitative risk modeling

Education

PhD in Economics, Philosophy, or STEM

Job description

Google DeepMind is hiring a Research Scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). You will drive research, model AI severe risks, and represent the program in governance discussions and model launch processes.

The role emphasizes collaboration with policy teams, publication of safety reports, and advancing FSF across safety and governance domains in a fast-evolving AI landscape.