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ANYbotics

Senior Reinforcement Learning Engineer

ANYbotics

Join the Motion Intelligence team at ANYbotics as a Senior Reinforcement Learning Engineer. Develop and deploy reinforcement learning policies for mobile robotics applications in demanding industrial environments.

Posted 6/3/2026full-timeZurich • 🇨🇭 SwitzerlandSeniorWebsite

Tech Stack

Tools & technologies
LinuxPythonPyTorch

About the role

Key responsibilities & impact
  • Lead the design, training, and deployment of reinforcement learning policies for robot motion
  • Provide senior technical guidance on RL and learning-based control across the team
  • Own and evolve the RL training infrastructure and sim-to-real pipeline
  • Shape the technical vision for internal ML tooling and experiment management
  • Collaborate closely with cross-functional stakeholders to identify how to expand the robot's autonomous operational envelope
  • Triage field issues related to locomotion
  • Write, deploy, and maintain efficient Python and C++ software for the learning and locomotion stack

Requirements

What you’ll need
  • PhD in robotics, machine learning, computer science or a related field with a strong focus on reinforcement learning; alternatively, an equivalent track record of RL research and deployment in robotics
  • Master's degree from a top-tier technical university (e.g. ETH Zurich, EPFL) in robotics, machine learning, computer science or related field and 5+ years of professional experience
  • Proven track record of shipping ML models to the field and maintaining those solutions over time
  • Solid grounding in robot control fundamentals and autonomous systems, including motion control, state estimation, path planning and actuation
  • Experience using robotic simulation tools such as Gazebo or Isaac Sim
  • Strong understanding of sim-to-real transfer, domain randomisation, reward shaping, and policy robustness techniques
  • Proficiency in Python and modern ML frameworks (PyTorch); working knowledge of C++
  • Strong knowledge of Linux systems and middleware frameworks for integrating learned components into a larger software stack
  • Pragmatic and solution-oriented mindset
  • Excellent communication skills in English

Benefits

Comp & perks
  • exciting and dynamic work environment
  • the opportunity to become part of a fast-growing company
  • an ambitious team
  • chance to leverage your experience and bring in your own ideas
  • a fair market salary
  • an attractive employee stock ownership plan

ATS Keywords

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Hard Skills & Tools
reinforcement learningrobot motionPythonC++machine learningrobot controlmotion controlstate estimationpath planningsim-to-real transfer
Soft Skills
technical guidancecollaborationproblem-solvingcommunicationpragmatic mindsetsolution-oriented mindset
Certifications
PhD in roboticsPhD in machine learningPhD in computer scienceMaster's degree in roboticsMaster's degree in machine learningMaster's degree in computer science