Senior Machine Learning Engineer - Localization
Torc Robotics4 hours ago
Base Salary
$177k - $213k/yr
Responsibilities
- Design, develop, and deploy production ML models for ego-motion estimation and localization, including pose estimation, sensor calibration, map matching, and sensor fusion.
- Build scalable PyTorch training and evaluation workflows using distributed training infrastructure and large-scale real-world datasets.
- Develop state-estimation and sensor-fusion algorithms for vehicle pose, velocity, and acceleration.
- Analyze vehicle data to identify failure modes and improve model and system performance.
- Develop production software in modern C++ and Python, including performance optimization, testing, debugging, and maintenance across the development lifecycle.
- Define localization evaluation, verification, and validation strategies for robustness and safety.
- Make technical design and architecture decisions balancing performance, efficiency, robustness, and production constraints.
- Collaborate with perception, mapping, planning, controls, and platform teams on integrated autonomous-driving capabilities.
- Provide technical leadership through design reviews, code reviews, mentoring, and engineering best practices.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience; alternatively, a master’s degree with 3+ years or a PhD with 1+ year of relevant industry experience.
- Experience with autonomous-vehicle or robotics localization systems such as LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation.
- Strong experience developing and deploying ML models for perception, localization, or sensor-fusion applications.
- Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
- Understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
- Experience working with large multimodal datasets and building scalable processing, labeling, and evaluation pipelines.
- Strong Python and C++ software-engineering fundamentals, including algorithms, data structures, testing, debugging, and performance optimization.
- Strong written and verbal communication skills and ability to work effectively on cross-functional teams.
- Preferred experience with factor graphs, Kalman filtering, nonlinear optimization, Ray, Kubernetes, embedded and real-time constraints, simulation, synthetic data, uncertainty-aware ML, open-source robotics or ML frameworks, and ISO 26262.
Benefits
- Competitive compensation package with bonus and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling and generous paid vacation available immediately after start date.
- Company-wide holiday office closures.
- AD&D and life insurance.
- Hybrid work in Ann Arbor, Michigan, or remote work within the United States.
Tech Stack
Categories
ML EngineeringRobotics
About Torc Robotics
Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated trucks to improve the safety and efficiency of transporting goods. We are experts in providing autonomous vehicle solutions and we partner with other industry leaders to bring this new technology to work in the real world. Our mission is to drive the future of freight through safer roads and the efficient transport of critical goods. #TorcDriven #TorcRobotics