Research Scientist, Robotics, Embodied AI, DeepMind

Research Scientist, Robotics, Embodied AI, DeepMind DeepMind - 5.0 Mountain View, CA Job Details Full-time $147,000 - $211,000 a year 3 hours ago Qualifications Computer science Reinforcement learning Computer Science Hypothesis testing Scientific publications Robotic systems New product development Software coding Doctoral degree in Computer Science Doctor of Philosophy Experimental design Emergency medicine Model training Simulation systems Implementing machine learning algorithms Senior level AI Research findings presentation Model evaluation Python Full Job Description Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. Experience training embodied reasoning VLMs (Vision Language Models). Experience working with simulators and real-world robots. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Neur

IPS, ICML, ICLR

).

Preferred qualifications:

Experience with AI technology. Experience with Python programming. Experience in robotics. 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 DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve tasks. In this role, you will develop Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. You will include Gemini Robotics (our Gemini model for the physical world), and Gemini Robotics On-Device (our Gemini model that runs without a data network). You will also develop reasoning and agentic systems for the physical world, including Gemini Robotics-ER, a Gemini agent with spatial understanding. You will enable robots to perform a range of tasks, respond interactively to their environment, achieve dexterity, and reason over long multi-step tasks. You will focus on advancing in areas of general purpose robotics, including real world understanding, action generalization, human robot interaction, whole-body control, and continual learning. Additionally, you will partner with robotics companies to bring this intelligence to applications at scale. 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. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Design, implement, train, and evaluate models and algorithms for robotic agents to unlock new robot capabilities. Write software to implement research ideas and iterate. Participate in research, including learning from simulation, reinforcement learning, learning from demonstrations, models, transformers, video generation, robot control, and humanoid robots. Work effectively within collaborative teams despite changing agendas to meet ambitious research goals. Generate ideas, set up experiments, and test hypotheses. Report and present research findings both internally and externally. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.