Research Scientist, FSF Risk Modeling and Governance, DeepMind
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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:
- Understanding of project management, including in research settings.
- Ability to drive projects.
- Ability to communicate complex technical topics to leads, governance bodies and policy experts.
- Excellent conceptual thinking skills.
ABOUT THE JOB:
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.
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Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Develop Frontier Safety Framework (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.
- 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.
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