About this role
Salary: £160,000 - 200,000 per year
Requirements: PhD in a technical field or equivalent practical experienceExperience with algorithmic architectures, data sources, and training and inference techniques for generative multimodal models, especially robotics applications such as VLAs and WAMsExperience optimizing models and systems through performance tuning, experimentation, and debuggingPractical experience iteratively improving training recipes and model performance against benchmarksExperience with simulators and real-world robotic platforms, such as dexterous manipulation and multimodal sensingExperience with benchmarking, data sources, data labeling strategies, and data mixture optimization for robotics foundation modelsAbility to build and maintain software tools for rapid research iterationExperience with robot policy training using imitation learning and related techniques, and with the practical considerations of pre-trainingExperience managing large volumes of multimodal data and optimizing data mixtures for general, non-robotics frontier models, including LLMs, VLMs, image and video generation, and world modelsPassion for bringing research from the lab to robust, real-world robotic systems and solving real-world robotics problems Responsibilities: Drive data quality, acquisition, and labeling strategies, and oversee mixture optimization for robotics foundation modelsCoordinate training runs, improve training recipes, and systematically improve model performance against benchmarksBuild and maintain software tools and processes that enable rapid research iteration and verification of data quality through robot policy trainingContribute to research in reinforcement learning, vision-language-action modeling, world-action models, and simulationSet up large-scale tests and quickly deploy promising ideasManage research deadlines and deliverables while developing new or improved products, processes, and technologiesCreate experiments, prototype implementations, and design new architecturesShare and publish findings, including research inspired by internal projects and collaborations with external research programs Technologies: AISupportModel TrainingRoboticsHardwareMobile More:
We are Google DeepMind, a pioneering AI lab whose interdisciplinary teams advance AI to address complex global challenges and support product innovation for billions of users. We work toward widespread public benefit and scientific discovery, with safety and ethics as our highest priorities. Our global teams offer learning opportunities and varied career pathways, and our research spans fundamental work, product innovation, product contributions, and infrastructure. We provide individuals and teams with flexibility to emphasize different types of work. This Research Scientist role is for someone eager to apply foundation model training to real-world robotics problems, working in a fast-paced, collaborative environment and contributing to research with practical impact.
last updated 40 week of 2026