Senior Machine Learning Engineer - Localization
Torc RoboticsAnn Arbor, MI · Remote · full time · Senior
$177,300 – $212,800
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role develops machine learning models and algorithms for autonomous truck localization and sensor fusion, using data from multiple vehicle sensors to estimate pose and motion. It suits experienced ML engineers with robotics or autonomous vehicle backgrounds who want to build production systems for commercial autonomous driving.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Software Engineering, Robotics, or related field with 6+ years industry experience; or Master's degree with 3+ years experience; or PhD with 1+ year experience
- Experience with AV or robotics localization systems (LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation)
- Strong experience developing and deploying ML models for perception, localization, or sensor fusion
- Proficiency with PyTorch and modern ML tooling
- Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals
- Ability to work with large multimodal datasets and build scalable processing pipelines
- Strong software engineering fundamentals in Python and C++
- Strong written and verbal communication skills and cross-functional collaboration
Nice to have
- Experience with state estimation techniques such as factor graphs, Kalman filtering, or nonlinear optimization
- Familiarity with distributed computing tools like Ray or Kubernetes
- Knowledge of embedded and real-time constraints for on-vehicle deployment
- Experience with simulation, synthetic data generation, and uncertainty-aware ML
- Open-source contributions to robotics, perception, or ML frameworks
- Familiarity with functional safety standards and automotive development processes including ISO 26262