Research Scientist, Human Data, Robotics
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Design, train and evaluate large models to unlock new robot capabilities.
- Incorporate scalable human video and wearable-device data into robotics models.
- Bring lab research to real-world robotic systems for widespread public benefit.
Ideal candidate
A research-minded roboticist with a PhD background who loves turning human action data into real robot skills. Collaborative, experimental, and driven to move breakthroughs from lab prototypes to impactful real-world systems.
Requirements
- PhD in Computer Science, related field, or equivalent practical experience
- 2 years of experience with reinforcement learning and imitation learning
- Experience with vision, vision-language, video, and other multimodal models
- Experience with multimodal generative modeling, training and inference
- Experience with capture methodologies, dataset design and incorporating human action data into VLAs or WAMs
- Experience with simulators and real-world robots, dexterous manipulation and multimodal sensing
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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