Role descriptionGelesen
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 vehic…
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