Research Scientist, Multisensor Robotics & Dexterity

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Our Mission At Google DeepMind, we believe AI is a pivotal tool for scientific advancement. Our interdisciplinary team of experts works at the cutting edge of machine learning to create technology that benefits the public. Safety and ethical considerations are foundational to every project we undertake. About Us Our Robotics Team is seeking Research Scientists to push the boundaries of embodied AI. We aim to build intelligent systems capable of meaningful interaction with the physical world to solve complex human challenges. We value the synergy between theoretical algorithmic research and large-scale practical deployment. The Role In this role, you will spearhead the creation of innovative models and algorithms for physical AI agents. We need inventive problem solvers with high-level programming skills to design agents that are deeply integrated with the real world. You will collaborate to evolve foundation models, test prototypes, and apply findings to actual robotics hardware. Expertise in reinforcement learning, multimodal models, and large-scale training is highly desirable. Key responsibilities: Architect and train advanced models to expand the functional limits of robotic systems. Develop high-quality code to prototype and refine research concepts rapidly. Contribute effectively within dynamic, cross-functional teams to achieve high-impact goals. Apply specialized knowledge in core robotics domains, including: Sim-to-real transfer and reinforcement learning techniques, Imitation learning, VLA models, and generative architectures. Reactive fast-feedback low level controllers Propose novel ideas and communicate experimental results clearly to both technical and general audiences. Handle real-world hardware challenges, focusing on complex manipulation and advanced sensor integration. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: A PhD in a relevant quantitative field or significant professional research experience. Deep theoretical understanding of algorithmic frameworks like: Advanced reinforcement and imitation learning methodologies. Multimodal generative modeling and efficient inference systems. Scaling large-scale vision-language or video foundation models. Background in building large-scale data pipelines and production-ready systems. A strong drive to transition academic research into tangible robotic impact. Applications close on Thursday 26th March at 5pm GMT