Research Scientist, Multisensor Robotics, DeepMind

Google Inc.

Greater London

On-site

GBP 100,000 - 150,000

Full time

32 hours ago
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Job summary

Google DeepMind in London is seeking a Share Research Scientist for the Multisensor Robotics group. You will design and train advanced robotic perception and control systems, bridging theory and real‑world deployment at scale.

You will work with RL, IL, and Vision-Language-Action architectures, scaling models for production and optimizing latency and memory footprints on device constraints. The role emphasizes publishing findings, collaborating with universities, and advancing embodied AI across

Qualifications

  • PhD in Robotics, Computer Science, ML or equivalent practical experience.
  • 5 years of industrial research experience in an R&D lab.
  • 3 years designing, training, and scaling RL/IL or VLA models.
  • 2 years optimizing foundation models for on-device latency and memory.

Responsibilities

  • Architect and train models to expand robotic capabilities and prototype concepts.
  • Apply domain expertise in sim-to-real transfer and multi-sensory learning.
  • Propose novel ideas and communicate results to audiences.

Skills

Reinforcement Learning
Imitation Learning
Vision-Language-Action

Education

PhD in quantitative field
Equivalent practical experience

Tools

Model Distillation
Model Pruning
Quantization

Job description

Share Research Scientist, Multisensor Robotics, DeepMind

corporate_fare DeepMind place London, UK

  • PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.
  • 5 years of professional research experience in an industrial research and development (R&D) laboratory.
  • 3 years of experience designing, training, and scaling reinforcement learning (RL), imitation learning (IL), or multimodal generative architectures (including Vision-Language-Action (VLA) or video foundation models).
  • 2 years of experience optimizing foundation models for production, utilizing techniques like distillation, model pruning, and post‑training quantization to meet on‑device latency and memory footprint constraints.
Preferred qualifications:
  • 3 years of experience building data pipelines, deploying production‑ready systems, and experience managing multi‑sensory datasets.
About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large‑scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real‑world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

To address complex human issues, our Robotics Team is seeking Research Scientists who can advance the frontier of embodied AI. In this role, you will focus on developing intelligent systems designed for meaningful physical world interaction, bridging the gap between theoretical algorithmic research and real‑world deployment at scale.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high‑quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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 (VLA) models, multi‑sensory learning (tactile, audio), and model optimization (distillation, pruning, quantization).
  • Propose novel ideas, address manipulation hardware requirements, and communicate results to audiences.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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Benefits