Research Scientist/Engineer, Frontier Reasoning, DeepMind

Research Scientist/Engineer, Frontier Reasoning, DeepMind

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corporate_fareDeepMindplaceLondon, UK; Mountain View, CA, USA; +2 more; +1 more

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelors or Masters degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience.

• 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow).

• Experience in at least one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search.

Preferred qualifications:

• PhD in Computer Science, Machine Learning, Physics, or a related quantitative field.

• Experience designing asynchronous agent-environment simulation loops or large distributed post-training pipelines.

• Experience prototyping new hypotheses quickly while keeping shared codebases clean, robust, and production-grade.

About the job

At Google DeepMind, the PRISM (Planning, Reasoning, Inference & Structured Models) 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 & Gemma-developing core reasoning, multi-agent capabilities, RL and inference scaling in Gemini, and spearheading Gemma 270M. 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 contribute to Alphabet-wide initiatives including AI for Science and Project Big Sleep.

You will operate across the full research-and-engineering lifecycle, developing distributed post-training infrastructure and algorithms that enable Gemini models to solve complex, multi-step 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.

Responsibilities

• You will operate across the full research-and-engineering lifecycle of frontier reasoning and agentic systems.
• Bridge research to production: Tackle unsolved problems in agentic reasoning, turning early exploratory prototypes into hardened production features for Gemini releases.
• Build and scale systems: Architect and optimize distributed post-training pipelines and agent-environment simulation loops across thousands of accelerators.
• Run scientific ablations: Design rigorous experiments and failure analyses to isolate performance bottlenecks and communicate findings through clear write-ups.
• Drive technical excellence: Maintain high code quality and architectural health across shared Reinforcement Learning and modeling codebases.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.