Frontier AI Safety Scientist: Risk Modeling & Governance

Google LLC; New York (NY); Sur place; USD 207 000 - 300 000; Plein temps

Résumé du poste

Google DeepMind is hiring a Research Scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). You will drive qualitative and quantitative analyses of AI risks, guide risk assessment, and contribute to model launch governance and safety reporting.

The role requires a PhD or equivalent experience and a track record in frontier AI safety, governance, or forecasting. You will work with cross‑functional teams to advance safety frameworks and publish insights

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., threat modeling, safety frameworks, or dangerous capability/alignment evaluations).

Responsabilités

• Develop FSF research and write updates to adapt to changing safety, governance, and policy opportunities and needs.
• Research and model pre-mitigation risks to ground empirical risk assessment work and inform safeguard development.
• 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 external safety reports and work with policy/governance teams to strengthen the frontier AI governance ecosystem.

Connaissances

Communication of complex topics

Project leadership

Formation

PhD in Economics, Philosophy, or STEM subject

Description du poste

Google DeepMind is hiring a Research Scientist to lead governance research and risk modeling for the Frontier Safety Framework (FSF). You will drive qualitative and quantitative analyses of AI risks, guide risk assessment, and contribute to model launch governance and safety reporting.

The role requires a PhD or equivalent experience and a track record in frontier AI safety, governance, or forecasting. You will work with cross‑functional teams to advance safety frameworks and publish insights