Robotics Research Scientist: Real-World AI for Robots

Robotics Research Scientist: Real-World AI for Robots

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Google DeepMind

At a Glance

  • Tasks: Design and evaluate AI models for robots, running experiments and prototyping architectures.
  • Company: Join Google DeepMind, a leader in AI research and innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for global collaboration.
  • Other info: Dynamic work environment with opportunities for publishing and career growth.
  • Why this job: Make a real-world impact by advancing robotics with cutting-edge AI technology.
  • Qualifications: Strong background in AI, robotics, and collaborative research experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Google Deep Mind in London is seeking a Research Scientist to design, implement and evaluate large models for robotic agents, including reinforcement and imitation learning, vision-language-action models, and multimodal data.

You will run experiments, prototype architectures, and collaborate with teams to deploy ideas in real-world robotic systems.

You will work with simulators and real robots, contribute to scalable data collection, and publish findings with partners worldwide.

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Robotics Research Scientist: Real-World AI for Robots employer: Google DeepMind

At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.

Google DeepMind

Contact Details:

Google DeepMind Recruitment Team

We think you need these skills to ace Robotics Research Scientist: Real-World AI for Robots

Reinforcement Learning
Imitation Learning
Vision-Language-Action Models
Multimodal Data Processing
Experimentation
Prototyping Architectures
Collaboration