Research Scientist, Robotics Pre-Training and Data Quality, DeepMind

Drive data quality, acquisition, and labeling strategies, and oversee mixture optimization for robotics foundation models. Coordinate training runs, improve training recipes, and systematically hill-climb model performance against benchmarks. Build and maintain the software tools and processes required to iterate on research ideas quickly and verify data quality through robot policy training. Contribute to our wider research agenda, including reinforcement learning, vision-language-action modeling, world-action models, and simulation, working in a fast-paced, collaborative team environment.