Research Scientist, Strategic Bets, DeepMind

Requirements:

• PhD degree in Machine learning, AI, or a related computational field, or equivalent practical experience.
• Experience in delivering research impact through publications, open-source contributions, or deployed systems.
• Experience with large language models, agentic workflows, or inference-time reasoning architectures.
• Programming experience across common scripting languages and ML pipelining tools.
• Experience in probabilistic modeling, uncertainty quantification, calibration, or reinforcement learning.

Nice to haves:

• Experience with prediction markets, quantitative research, temporal data modeling, or real-world forecasting benchmarks.
• Familiarity with process-based reward modeling, automated design of agentic systems, or search/retrieval-augmented generation.

What you'll be doing:

• Engage with existing research efforts to build AI systems capable of superhuman probabilistic estimation.
• Collaborate to design novel structured reasoning approaches and multi-agent workflows for estimation quality and calibration improvement.
• Research solutions to core forecasting issues like temporal reasoning, information retrieval, world-modeling, and reward structures.
• Drive the deployment of research into high-stakes decision-making environments.
• Report and present research findings internally and externally.

Perks and benefits:

• Diverse learning opportunities and varied career pathways
• Pioneering AI lab focused on solving global challenges and product innovation
• Exceptional interdisciplinary teams
• Focus on safety and ethics in all projects