Description
The role develops and improves perception models for autonomous mobile robots, including object detection, obstacle classification, and free-space estimation. It focuses on data-centric machine learning, automated labeling, synthetic data, simulation-based evaluation, benchmarking, and deployment of models within a ROS-based software stack. The position requires 2–5 years of robotics perception, computer vision, or machine learning experience, strong Python skills, neural-network training and evaluation experience, and familiarity with ROS and Linux-based development environments.
