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Machine Learning Research Scientist

2 months ago

London, Greater London, United Kingdom DeepMind Full time
About Us

At DeepMind, we're a team of scientists, engineers, and experts working together to advance the state of the art in artificial intelligence. Our mission is to use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are our top priority.

The Role

We're seeking a Research Scientist to join our team, working collaboratively within and across a range of research fields. As a Research Scientist, you'll develop solutions to fundamental questions in machine learning, computational neuroscience, AI, and AI policy and governance.

Key Responsibilities
  • Propose, contribute to, and lead research projects related to the governance of advanced AI at DeepMind.
  • Build and contribute to internal and external collaborations, through involvement in working groups, presentations, and the writing of memos.
  • Monitor trends and developments in the AI landscape and implications for AI safety, strategy, and governance.
  • Produce insightful, engaging, and actionable research papers, memos, and risk analysis that are easily digestible by internal decision makers and external stakeholders.
  • Proactively build relationships across the company to inform your research and find opportunities for how your work can support other teams.
  • Work in collaboration with our Policy, Safety, and Responsibility teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About You

To succeed as a Research Scientist at DeepMind, we look for the following skills and experience:

  • PhD or MA + equivalent research or practical experience in a relevant field.
  • Professional or research experience in AI governance or policy.
  • Knowledge of the technical AI landscape, policy-making, and history of major government decisions relevant to AI, and the global governance of AI.
  • Professional communication, writing, and presentation skills.
  • Technical expertise (ML, AGI Safety).
  • Experience incorporating the perspectives and interests of a diverse range of communities, groups, and partners.