Senior Software Engineer - Machine Learning - Multi-Object Tracking

On the State Estimation team, develop spatio-temporal ML models for multi-object tracking and uncertainty estimation, plus models to estimate road features, lane markings, road shape, and topology. Read literature, analyze raw data, design state-of-the-art solutions, and transition them from lab to test track to public roads as production-grade perception systems. Requires a BS + 4 years (or MS + 2 years) in CE/CS/EE/Robotics or related, experience building ML-based multi-object tracking systems, deep learning with PyTorch, strong computer vision/perception, shipped perception products, and 4+ years Python/C++. PhD and compute-constrained deployment a plus. Visa sponsorship is available.