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Google DeepMind is seeking a research scientist to lead governance research and risk modelling for the Frontier Safety Framework (FSF). You will drive qualitative and quantitative modelling of AI severe risks and represent the FSF in internal and external governance structures.
You will build and lead a team of researchers, collaborating with policy, governance, and evaluation teams. The role focuses on advancing FSF research, risk assessment, and dissemination through safety reports and related
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
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.
You will lead a team of researchers to advance both of these priorities. Practically, you will drive research and development of the FSF, lead qualitative and quantitative modelling of possible AI severe risks, and represent the FSF risk assessment program in internal and external governance (e.g. in model launch processes and the writing and publication of model safety reports).
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
Learn more about benefits at Google.
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.