Robotics Research Scientist: AI Agents & Real-World Robots

Robotics Research Scientist: AI Agents & Real-World Robots

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

At a Glance

  • Tasks: Design and evaluate large models for robotic agents and collaborate on innovative research.
  • Company: DeepMind, a leader in AI research based in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Work with cutting-edge technology in a dynamic and supportive environment.
  • Why this job: Join a pioneering team to shape the future of robotics and AI.
  • Qualifications: Experience in machine learning, robotics, and collaborative research.

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

Deep Mind in London is seeking a Research Scientist in Robotics to advance foundational models and real-world robot applications.

You will design, implement and evaluate large models for robotic agents, while collaborating across teams and contributing to open research.

This role emphasizes scalable ML, reinforcement learning, and real-world robot integration.

You will work with state-of-the-art robotics platforms, prototype applications, and cutting-edge datasets to push the boundaries of AI

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Robotics Research Scientist: AI Agents & Real-World Robots employer: Software Careers

Elastic is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for the Principal Software Engineer role in London. With a strong emphasis on employee growth and development, the company provides competitive benefits and encourages innovation in enhancing search capabilities. Working remotely with a diverse team allows for meaningful contributions to cutting-edge technology while enjoying a supportive environment.

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Contact Details:

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

Robotics
Machine Learning
Reinforcement Learning
Model Design
Model Implementation
Model Evaluation
Collaboration