Research Scientist, Multisensor Robotics
Google DeepMind · London, UK
Frontier labonsitesenior
At a glance
Highlights
- Advance embodied AI for meaningful physical world interaction at scale
- Prototype concepts and expand robotic capabilities via large-scale tests
- Publish findings and collaborate with global university research programs
Ideal candidate
An industrially experienced robotics researcher who loves bridging theory to real-world deployment and sharing discoveries with the wider community to advance embodied AI.
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)
Posted · Last seen