Research Scientist, Robotics, DeepMind
Deepmind
Apply to this job Cambridge, MA, US Until 8/21/2026 0+ years exp First posted June 12, 2026 Last posted June 12, 2026
Job description
About the Job
We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We’re looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people.At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks.
In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini’s world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network.
These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications.
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.
US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design, implement, train, and evaluate large models and algorithms for robotic agents to make breakthroughs and unlock new robot capabilities.
- Write software to implement research ideas and iterate quickly.
- Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.
- Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.
- Generate creative ideas, set up experiments, and test hypotheses to report and present research findings clearly and efficiently both internally and externally.
Qualifications
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR).
- Experience working with simulators and robots.
Preferred qualifications:
- Experience training neural networks using large datasets or simulation to improve real robot behavior.
- Experience in robot manipulation.
- Experience with Python programming.
About this role
Summary
Develop models and algorithms for robotic agents using AI, simulation, and research.
Job title
Research Scientist, Robotics
Experience level
doctorate or equivalent practical experience
Minimum experience
0+ years exp
Industry
technology
Location requirements
On-site in Cambridge, MA, USA, with no remote mention
Salary
$147k–$211k
Management role
No
Skills & keywords
Required skills
PhD in computer science or related fieldresearch publication experiencesimulatorsrobotsPython
Preferred skills
large datasetsneural networksrobot manipulation
Specializations
roboticsartificial intelligencevision-language-actiontransformersrobot control
Locations
Structured locations inferred from the posting.
Cambridge, MA, USA
On-site City
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