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Über
Develop and train machine learning models for scene understanding, including object detection and road prediction Implement production-quality code to support model training, evaluation, and inference within the perception stack Analyze model performance, identify failure modes, and propose improvements for robustness in various driving conditions
Required Qualifications
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with at least 4 years of experience, or a Master's degree with at least 2 years of experience Strong understanding of computer vision and foundational machine learning concepts Experience applying machine learning techniques in autonomous systems or complex control environments Robust programming skills in Python and PyTorch, with experience in production-quality code Experience in training and evaluating machine learning models using large datasets and adaptive computing environments
Sprachkenntnisse
- English
Hinweis für Nutzer
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