Senior or Staff Reinforcement Learning Engineer (Robotics)

Location: On-site in London, UK

Company

hirify.global develops commercially scalable and safe hirify.global robots, including the HMND-01 Alpha platform used in industrial pilots.

What you will do

• Design and train reinforcement learning policies for hirify.global robot control.
• Build scalable simulation and training pipelines using environments such as Isaac Lab and MuJoCo.
• Design reward functions, observation spaces, and curricula for complex robotic behaviors.
• Improve policy robustness and sim-to-real transfer through continuous simulation and hardware experimentation.
• Deploy and evaluate learned policies on real robotic systems.
• Integrate learned policies into the robot control stack in collaboration with controls and robotics engineers.

Requirements

• MS or PhD in Robotics, Machine Learning, Computer Science, or a related field.
• Strong experience with reinforcement learning, including methods such as PPO, SAC, or offline RL.
• Experience applying reinforcement learning to robotics or physical systems and deploying learned policies on real robots.
• Experience with physics-based simulation environments such as Isaac Lab or MuJoCo.
• Strong programming skills in Python and/or C++.

Nice to have

• Experience with reinforcement learning for locomotion or legged robots.
• Experience with sim-to-real transfer.
• Familiarity with robot dynamics, control, or whole-body control.

Culture & Benefits

• 23 days of accrued annual leave, 15 days of paid sick leave, and paid company holidays.
• Fully funded private healthcare for UK employees, including mental health and serious illness support.
• Equity participation and a pension scheme with an 8% total contribution.
• Free daily breakfast, catered lunch, and snacks in the office.
• Collaboration with engineers, researchers, and product experts in AI and robotics.
• Freedom to influence the product and own key initiatives.