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Research Scientist, Robotics Data, Pretraining, DeepMind

Google
California, USA
Mid
Onsite
USD 147000-210000 / year
Discovered 4 days ago

Full Job Posting

Responsibilities

  • Develop data quality, filtering, and labeling methodologies, and optimize multimodal data representations and mixtures to upstream physical and action knowledge into Gemini pre-training.
  • Design and run pre-training and policy training ablations, improve training recipes, and systematically hill-climb physical reasoning and action performance against benchmarks.
  • Build and maintain the research software, evaluation tools, and lightweight post-training workflows required to iterate on research ideas quickly and verify upstream data quality through offline and closed-loop robot policy evaluations.
  • Contribute to our wider research agenda—including vision-language-action (VLA) modeling, world-action models, reinforcement learning, and simulation—and communicate findings clearly in a fast-paced, collaborative team environment.

Minimum qualifications:

  • PhD in Computer Science, a related technical field, or equivalent practical experience.
  • Experience working with robot policy learning (e.g., imitation learning, RL) across simulators and real-world robotic platforms (e.g., dexterous manipulation, multimodal sensing).
  • Experience working with simulators and robots.
  • Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR).

Preferred qualifications:

  • Experience with systematic benchmarking, multimodal data sources, data labeling strategies, and data mixture optimization for frontier or robotics foundation models.
  • Practical experience in "hill-climbing" model performance (e.g., iteratively improving data curation, training recipes, and model benchmarks).
  • Proven ability to build and maintain clean research software and tools for rapid iteration on research ideas.
  • A passion for bringing foundation model research from the lab to robust, real-world robotic systems.

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