Senior Research Scientist, Multisensor Robotics

DeepMind Technologies Limited; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

DeepMind Technologies Limited is seeking a Research Scientist to advance embodied AI and large-scale laboratory projects in robotics and intelligent systems. You will design experiments, prototype implementations, and contribute to architectures spanning machine learning, data mining, and software performance analysis.

The role focuses on bringing theory to real-world deployment and scalable results. You will collaborate with internal teams and partner universities to publish findings and push

Qualifications

• PhD degree in a quantitative field (e.g., Robotics, Computer Science, Machine Learning) or equivalent practical experience.
• 5 years of professional research experience in an industrial R&D lab.
• 3 years of experience designing, training, and scaling reinforcement learning, imitation learning, or multimodal generative architectures (including Vision-Language-Action or video foundation models).
• 2 years of experience optimizing foundation models for production using distillation, pruning, and post-training quantization to meet on-device latency and memory footprint constraints.

Responsibilities

• Architect and train models to expand robotic capabilities and prototype concepts.
• Apply domain expertise in sim-to-real transfer, imitation learning, Vision-Language-Action models, multi-sensory learning, and model optimization.
• Propose novel ideas, address manipulation hardware requirements, and communicate results to audiences.

Skills

Industrial research experience

RL/IL/VLA models experience

Foundation model optimization for prod

Education

PhD in quantitative field

Tools

Distillation

Model pruning

Post-training quantization

Job description

DeepMind Technologies Limited is seeking a Research Scientist to advance embodied AI and large-scale laboratory projects in robotics and intelligent systems. You will design experiments, prototype implementations, and contribute to architectures spanning machine learning, data mining, and software performance analysis.

The role focuses on bringing theory to real-world deployment and scalable results. You will collaborate with internal teams and partner universities to publish findings and push