Senior RL Engineer for Humanoid Robots (Equity)

Senior RL Engineer for Humanoid Robots (Equity)

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and train RL policies for humanoid robots, enhancing their movement and manipulation.
  • Company: Join a pioneering robotics company focused on humanoid technology.
  • Benefits: Equity options, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative team environment with exciting challenges and career advancement.
  • Why this job: Be at the forefront of robotics innovation and make a tangible impact.
  • Qualifications: Experience in reinforcement learning and a passion for robotics.

The predicted salary is between 63000 - 77000 Β£ per year.

Humanoid is seeking a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train RL policies enabling dynamic locomotion and loco-manipulation on real robots, building scalable pipelines and improving sim-to-real transfer for reliable hardware deployment.

You will collaborate with controls and robotics engineers to integrate learned policies into the robot control stack, iterating between large-scale simulation.

Senior RL Engineer for Humanoid Robots (Equity) employer: Humanoid

Humanoid is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving field of robotics and AI. Our focus on delivering cutting-edge technology ensures that you will be part of a team that is not only shaping the future of industrial applications but also making a meaningful impact in the industry.

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Contact Details:

Humanoid Recruitment Team

We think you need these skills to ace Senior RL Engineer for Humanoid Robots (Equity)

Reinforcement Learning
Control Systems
Dynamic Locomotion
Loco-Manipulation
Simulation Techniques
Sim-to-Real Transfer
Pipeline Development