Research Scientist, Multisensor Robotics
Google DeepMind · London, UK
CHECKED 23H AGO
Frontier labonsite
At a glance
Highlights
- Advance embodied AI to solve complex human issues via physical interaction
- Set up large-scale tests and deploy promising ideas quickly and broadly
- Share findings with the research community and university partners worldwide
Ideal candidate
A curious, impact-driven researcher with industrial R&D roots who loves turning embodied AI ideas into real-world systems and sharing discoveries openly.
Requirements
- PhD in Robotics, Computer Science, Machine Learning or related quantitative field or equivalent practical experience
- 5 years of professional research experience in an industrial R&D laboratory
- 3 years designing, training and scaling RL, imitation learning or multimodal generative architectures including VLA or video foundation models
- 2 years optimizing foundation models for production with distillation, pruning and post-training quantization for on-device constraints
- 3 years building data pipelines, deploying production-ready systems and managing multi-sensory datasets
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)