Internship - Controls

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further.

The Opportunity

We're looking for interns who are curious, hands on, and excited to work directly with robotic systems.

This is an open ended internship where you will design and train reinforcement learning policies that enable dynamic locomotion and loco manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim to real transfer for reliable deployment on hardware.

You will work closely with control and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real world conditions.

This is a full time internship (5 days per week) over the summer (mid June - mid September), based in our London Paddington office, where you'll contribute to real robotic systems from early on with guidance from experienced engineers.

Duration: 12 weeks Start date: June Compensation: Competitive pay + we'll keep you fed (seriously, our breakfasts and lunches are good)

What you might work on

• Design and train reinforcement learning policies for humanoid robot control
• Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo)
• Design reward functions, observation spaces, and curricula for complex behaviors
• Run and analyse existing policiesIdentify issues, troubleshoot, and propose creative solutions
• Document procedures and findings, helping shape the evolution of our humanoids

What we're looking for

• Hands on experience with PyTorch and training ML models.
• Strong interest in reinforcement learning, machine learning and robotics.
• Experience writing code (e.g. Python, C++, or similar).
• Comfortable working with hardware, experiments, and debugging.
• Ability to learn quickly and operate in a fast paced environment.
• Problem solving mindset and attention to detail.
• Clear communication and ability to work closely with a team.