Robot Perception/ML Engineer (f/m/d) Autonomous Mobile Robots
MunichCompetitiveOnsite0 applicants
About this role
Your tasks
You develop and improve perception models for autonomous mobile robots, including object detection, obstacle classification, and free-space estimation
You drive data-centric machine learning by scaling automated labeling, leveraging fleet data, and closing the sim2real gap through synthetic data and simulation-based evaluation
You own model performance by defining benchmarks, tracking key metrics, and continuously improving real-world and benchmark results
You deploy and validate perception models within our ROS-based robot software stack, ensuring reliable performance on real vehicles
You collaborate closely with navigation, controls, and fleet software teams to deliver robust perception capabilities that enable autonomous operation
Requirements
- You bring 2–5 years of professional and hands-on experience in robotics perception, computer vision, or machine learning
- You have strong Python skills; experience with C++ is a plus
- You have hands-on experience training and evaluating neural networks (PyTorch or similar) and follow a data-centric approach to improving model performance
- You have practical experience with synthetic data, simulation for ML, auto-labeling, active learning, or domain adaptation
- You apply a rigorous approach to model evaluation and understand how to measure real-world performance effectively
- You are familiar with ROS and Linux-based development environments
- You have a pragmatic engineering mindset and enjoy shipping, measuring, and iterating
- What we have to offer
- Cutting-edge technology: As pioneers in robotics we are able to navigate and manipulate without rails and guides and offer solutions to processes that no one could automate ever before!
- Team: We are an international team with more than 25 nationalities. You’ll work in a t