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Research Scientist/Engineer, Frontier Reasoning, DeepMind.

AI & Research

Research Scientist/Engineer, Frontier Reasoning, DeepMind: our view in 3 lines...

  • The Role:This role is for a research scientist or engineer working on frontier AI reasoning and autonomous agentic systems at DeepMind.
  • The Person:The person will develop distributed post training infrastructure and algorithms that help Gemini models solve complex multistep problems autonomously.
  • Requirements:The ideal candidate has computer science, deep learning, machine learning, fine tuning, jax, pytorch, reinforcement learning, rlhf, tensorflow, debugging, physics and prototyping experience.

About the role

At DeepMind, the Planning, Reasoning, Inference and Structured Models (PRISM) team brings together researchers and engineers to advance the frontiers of AI reasoning and autonomous agentic systems. We reject the false tradeoff between research and execution, pursuing breakthroughs on open AI challenges while embedding directly into core teams to land those capabilities in production.

Our work powers Gemini and Gemma by developing core reasoning capabilities and RL scaling for Gemini 3, and leading Gemma 270M, including multiagent Gemini capabilities. We deliver critical contributions to AI Grand Challenges such as our gold medal winning IMO 2025 effort, drive product innovations like deep think mode and agentic inference scaling in antigravity, and lead Alphabet wide initiatives including AI for Science and Project Big Sleep.

In this role, you will operate across the full research and engineering lifecycle, developing distributed post training infrastructure and algorithms that enable Gemini models to solve complex, multistep problems autonomously.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Published September 29, 2026
Location London, United Kingdom
Category AI & Research