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← Torc Robotics

Senior Machine Learning Engineer - Localization

Torc Robotics
Location
Remote - U.S, Ann Arbor, MI
Posted
19 days ago
Department
Autonomy
What they actually want (must-haves)
  • Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience
  • Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation)
  • Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains
  • Proficiency with PyTorch and modern ML tooling for training, inference, and optimization
  • Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals
  • Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation
Nice to have
  • Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods
  • Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks
  • Knowledge of embedded and real-time constraints for on-vehicle deployment
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling
  • Contributions to open-source robotics, perception, or ML frameworks
What the job really is

As a Senior Machine Learning Engineer specializing in Localization at Torc, you will design, develop, and deploy machine learning models for ego-motion estimation and localization in autonomous trucks. Your role involves creating scalable training workflows, improving state estimation algorithms, and analyzing large vehicle datasets to enhance performance. Collaboration with cross-functional teams is key to delivering integrated autonomous driving capabilities, along with providing technical leadership within the team.

Benefits
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance
Things to weigh
  • No salary listed in the posting, but a hiring range is provided ($177,300 — $212,800 USD)
  • The role involves working with complex systems in a rapidly evolving field, which may present unique challenges
  • The position is open to remote work, but also offers a hybrid option in Ann Arbor, MI, which may affect team dynamics
Job score3.4/5
Benefits3/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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