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Senior Machine Learning Engineer - Localization

Torcrobotics · Remote - U.S, Ann Arbor, MI

remotesenior$177,300–$177,300Posted Sep 1, 2026PyTorchPythonC++Machine LearningSensor FusionLiDARComputer Vision

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About this role

## Senior Machine Learning Engineer - Localization **About the Company** Torc is a leader in autonomous driving since 2007, now part of the Daimler family. We're focused on developing software for automated trucks to transform how the world moves freight. **Meet the Team** The Ego-Motion & Localization Team develops ML models, state estimation algorithms, and production software for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections and environmental challenges. **What You'll Do** • Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors • Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets • Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation • Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements • Develop robust, efficient production software in modern C++ and Python across the full development lifecycle • Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions • Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints • Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities • Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices

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