Machine Learning Engineer - Perception Mapping
仕事内容
Own the end-to-end ML lifecycle for semantic map element detection, from data curation to deployment.
Curate, validate, and label datasets for model training and evaluation to ensure robust performance.
Research, implement, and train deep learning models for semantic map element detection in real-world driving scenarios.
Collaborate with validation teams to design and run model validation pipelines within compute budgets.
Integrate models into the onboard autonomy stack, maintain coding and ML best practices, and influence system architecture.
Bring 5+ years of CV/robotics experience with Python (PyTorch, NumPy) and deep learning; knowledge of C++/CUDA and mapping techniques is a plus.
Curate, validate, and label datasets for model training and evaluation to ensure robust performance.
Research, implement, and train deep learning models for semantic map element detection in real-world driving scenarios.
Collaborate with validation teams to design and run model validation pipelines within compute budgets.
Integrate models into the onboard autonomy stack, maintain coding and ML best practices, and influence system architecture.
Bring 5+ years of CV/robotics experience with Python (PyTorch, NumPy) and deep learning; knowledge of C++/CUDA and mapping techniques is a plus.
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