Research Scientist, Robotics Data, Pretraining
Google DeepMind · Mountain View, CA, USA
Frontier labonsite$147k–$210k
At a glance
Highlights
- Upstream physical and action knowledge into Gemini pre-training.
- Pair data ablations with fast closed-loop robot evaluations.
- Shape physical reasoning in next-gen Gemini models for real robots.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Robotics researcher with PhD-level depth who loves turning data insights into capable real-world robots and thrives publishing and iterating quickly in collaborative frontier-model teams.
Requirements
- PhD in Computer Science, related technical field, or equivalent practical experience
- Experience with robot policy learning across simulators and real-world platforms
- Experience working with simulators and robots
- Experience publishing at conferences such as NeurIPS, CoRL, ICML, ICLR
- Experience with benchmarking, multimodal data, labeling, and data mixture optimization
- Practical experience hill-climbing model performance via data and training iteration
- Ability to build and maintain clean research software for rapid iteration
- Passion for bringing foundation models from lab to robust real-world robots
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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