Research Scientist, Robotics Pre-Training and Data Quality
LondonPosted 3d ago
About the role
Research Scientist role at DeepMind focused on robotics pre-training, data quality, and multimodal foundation models, with emphasis on real-world robotic applications, data management, and scalable experimentation.
Responsibilities
- 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.
Qualifications
- PhD in a technical field or equivalent practical experience.
- Experience with algorithmic architectures, data sources, and training and inference techniques for generative multimodal models, especially for robotics applications (e.g., VLAs, WAMs).
- Experience optimizing models and systems (e.g., performance tuning, experimentation, and debugging).
Skills
Required:PhD or equivalent practical experienceGenerative multimodal models (robotics applications)Model optimization and debugging
Nice to have:Robot policy trainingSimulation and real-world robotics platforms
Last updated Oct 23, 2026. Interested? Apply on the company site.
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