Senior Reinforcement Learning Engineer

We are looking for a Senior Reinforcement Learning Engineer to join our Motion Intelligence team. You should bring deep expertise in reinforcement learning and policy optimisation, grounded in real-world robotics experience, and be excited to push the boundaries of autonomous robots. We are looking for someone who can provide senior-level RL and learning-based control guidance across the team — shaping how we train, deploy, and maintain learned policies on physical robots operating in demanding industrial environments.
Beyond RL expertise, we value engineers who take pride in writing clean, maintainable code, simplifying complex systems through thoughtful design, and championing sound interfaces and architecture.

At ANYbotics, we develop tailored software solutions that enable our legged robots to execute inspection and maintenance tasks with precision and consistency. This role sits at the intersection of cutting-edge RL research and production robotics — from sim-to-real policy transfer and reward engineering through to reliable deployment on mission-critical systems in the field. You’ll work across the full lifecycle — from early development prototyping through to mission‑critical, production deployments.

ANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customised hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware.