Research Scientist, Frontier AI Forecasting and Strategic Foresight, DeepMind Institute

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.

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.

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.