Senior Reinforcement Learning Engineer
anybotics· Motion Intelligence
About this role
ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 200 people and work on cutting-edge robot technology.
The Opportunity
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.
The Market & Our Technology
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.
Frequently Asked Questions
Is the salary disclosed for the Senior Reinforcement Learning Engineer position at anybotics?
The salary for this Senior Reinforcement Learning Engineer role at anybotics is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Reinforcement Learning Engineer position at anybotics located?
This Senior Reinforcement Learning Engineer role at anybotics is based in Zurich, Switzerland. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Reinforcement Learning Engineer role at anybotics full-time or part-time?
This is listed as a Employee 100% position. It is posted as a Senior Reinforcement Learning Engineer role in the Motion Intelligence department at anybotics.
Which team or department does the Senior Reinforcement Learning Engineer at anybotics belong to?
This Senior Reinforcement Learning Engineer position is part of the Motion Intelligence department at anybotics. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Reinforcement Learning Engineer position at anybotics?
Click the "Apply Now" button on this page. You will be redirected to anybotics's official application portal hosted on lever where you can submit your application directly.
When was the Senior Reinforcement Learning Engineer job at anybotics posted?
This Senior Reinforcement Learning Engineer position at anybotics was posted on May 26, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Reinforcement Learning Engineer
anybotics
You'll be redirected to anybotics's official application page on Lever.