Research Strategist, Emerging Impacts Team, Deepmind

Google Google · Big Tech · Mountain View, CA +2

This role focuses on assessing the ethical and safety implications of DeepMind's AI research and applications, advising stakeholders including the responsibility and safety council, and developing best practices for AI development. The role requires experience in AI ethics and safety within a governance, policy, legal, or research context, with a focus on assessing societal impacts and risks.

What you'd actually do

  1. Support the responsibility and safety council by frequently presenting project assessments and communicating with executive stakeholders.
  2. Develop and document best practices for DeepMind projects by working with internal experts and external organizations.
  3. Design and run engagement models, such as workshops and external expert consultations, to address ethics and safety issues and identify new research areas.
  4. Collaborate closely with DeepMind safety communities and broader teams to inform model policy, prepare for emerging AI capabilities, and refine assessment frameworks through monitoring real-world impact.
  5. Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations.

Skills

Required

  • 8 years of experience in AI ethics and safety within a governance, policy, legal, or research role
  • Experience leading end-to-end assessments of ethical and societal questions related to technology development, balancing risks and benefits across various applications

Nice to have

  • Master's degree
  • Experience working with AI governance processes within a public or private institution
  • Experience with technical AI models and the broader ecosystem, synthesizing material into accessible formats, collaborating with interdisciplinary teams, and executive stakeholder management
  • Experience focusing on technology/AI ethics and safety, and distilling impact analysis into insights
  • Experience in product management, legal analysis, or other related fields
  • Experience communicating concepts to a range of collaborators, both in writing and executive presentations

What the JD emphasized

  • AI ethics and safety
  • governance
  • societal implications
  • responsibility and safety council
  • ethics and safety best practices
  • assess their safety performance and real-world impact
  • ethics and safety issues
  • ethics and safety reviews
  • downstream societal implications
  • governance considerations

Other signals

  • AI ethics and safety
  • governance
  • societal implications
  • responsibility and safety council