Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
We’re seeking a highly skilled Senior Reinforcement Learning (RL) Control Engineer to develop locomotion and whole body control skills for our humanoid robots. You’ll be at the cutting edge of robotics, responsible for developing advanced control algorithms that balance precision, efficiency, and adaptability. In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
Design and implement RL-based control policies for locomotion tasks, including walking, balancing while manipulating, squatting, stair climbing, fall recovery, and other dynamic maneuvers.
Model and simulate complex dynamics, taking into account robot kinematics, actuator limitations, and environmental interactions to optimize performance.
Conduct rigorous testing in both simulated and real-world environments to validate algorithms and ensure robustness across various conditions.
Collaborate closely with software and perception teams to integrate control strategies into the full-stack robotic system.
Master’s or PhD in Robotics, Control Systems, Machine Learning, or a related field.
At least 3+ years of experience in the design and implementation of control systems for legged robots, focusing on locomotion.
Strong expertise in reinforcement learning applied to robotics
Proven and strong experience with hardware-in-the-loop testing and deployment on physical legged robots.
Proficiency in Python and C++ for algorithm development, testing, and deployment.
Experience in topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods.
High competitive salary.
~Flexible working hours.
~ Opportunity to work on the latest technologies in AI, Robotics, Blockchain and others.
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