Description
The role focuses on advancing machine learning and computer vision for autonomous driving, including end-to-end object detection, tracking, prediction, planning, control, online mapping, SLAM, and localization. It covers the full machine learning project lifecycle from data analysis and experimentation to performance verification and cross-team collaboration with product, simulation, and other algorithm teams. Candidates need an advanced degree in a related field, extensive machine learning and computer vision experience, knowledge of modern transformer architectures, and familiarity with PyTorch or TensorFlow; research publications and experience with generative models, model distillation, or inference acceleration are preferred.
