Research Scientist, FSF Risk Modeling and Governance, DeepMind

Google DeepMind; San Francisco (CA); On-site; USD 207,000 - 300,000; Full time

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

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; New York, NY, USA; San Francisco, CA, USA.

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.

About The Job

We are hiring a research scientist to lead governance research and risk modeling work for the Frontier Safety Framework (FSF). The FSF is Google’s framework for addressing possible severe risks from its frontier AI models. Both risk modeling and governance innovation are key to its continued success. Risk modeling helps Google understand the extent of the severe threats our models may pose, what mitigations are appropriate for addressing them, and whether, after the mitigations are applied, risk has been brought to a low enough level for different kinds of deployment. Frontier AI risk assessment is still nascent, and we are strengthening our efforts here in preparation for AGI. Governance innovation is critical given the arrival of new risks on the AI frontier, as well as the shifting technical and geopolitical environment. Safety frameworks like the FSF have changed substantially since their conception, and must continue to evolve to confront the challenges ahead. Working with our policy and governance teams to broaden their reach and strengthen their application will also be crucial to their long-term success. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .