Research Scientist, Frontier AI Forecasting and Strategic Foresight, DeepMind Institute
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Minimum qualifications:
- PhD or equivalent advanced experience in a relevant technical, quantitative, or social-scientific field or equivalent practical research experience.
- 3 years of experience initiating, scoping, and executing independent research agendas or leading academic projects.
Preferred qualifications:
- Experience in judgmental forecasting, statistical modeling, or building automated AI forecasting tools.
- Published research, policy reports, or executive briefings on AI forecasting, AI governance, or AI geopolitics.
- Deep understanding of AGI development and its technical, geopolitical, and societal implications.
- Track record of research on the future trajectory of AI or its impacts.
- Strong quantitative, qualitative, or technical methods applied to questions about technological trajectories, governance, or strategic risk.
- Demonstrated ability to build new, high-impact programs in complex organisations, build trust with technical researchers, subject-matter experts, and executive leadership.
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.
Responsibilities
- Envision, build, and lead DMI's frontier AI forecasting and strategic foresight program, combining rigorous analysis with program execution.
- Identify the strategic and governance questions DeepMind leadership will face, and frame them early enough for analysis to shape the answer.
- Forecast capability trajectories, recursive self-improvement, and their governance and geopolitical implications, using judgmental and statistical forecasting, scenario analysis, and comparative analysis, with Research and Development (R&D), safety, and external researchers.
- Translate findings into memos, briefings, and publications that inform the Frontier Safety Framework, executive strategy, and national security engagements.
- Build AI-assisted forecasting tools and external partnerships that scale the team's foresight capacity and contribute to the wider field.
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