Map Matching and Path Prediction

This role focuses on developing data-driven approaches for autonomous driving by combining symbolic reasoning and machine learning on real-world map data. The position involves modeling road connectivity, building features from observations, and training models to predict paths in complex urban environments. The team aims to improve the robustness, accuracy, and interpretability of map matching and path prediction capabilities.