Research Scientist, FSF Risk Modeling and Governance, DeepMind

• 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. 

Minimum qualifications:

• PhD in Economics, Philosophy, or a STEM subject, or equivalent practical experience.
• 3 years of research experience in frontier AI safety or governance (e.g., in threat modeling, safety frameworks, or dangerous capability/alignment evaluations).

Preferred qualifications:

• Ability to communicate complex technical topics to leads, governance bodies and policy experts.
• Track record of driving complex projects, including in research settings.
• Track record of applying conceptual and quantitative reasoning methods to uncertain and under-constrained research or forecasting problems.

• PhD in Economics, Philosophy, or a STEM subject, or equivalent practical experience.
• 3 years of research experience in frontier AI safety or governance (e.g., in threat modeling, safety frameworks, or dangerous capability/alignment evaluations).