Torc Robotics · 7 hours ago
Senior, ML Engineer - Learned Localization
Ann Arbor, MI
Full-time
Hybrid
Senior Level
$199K/yr - $299K/yr
6+ years expTorc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. As a Senior ML Engineer, you will build machine-learning components for localization, working with a multidisciplinary team to ensure robust and real-time solutions for autonomous trucking.
Autonomous VehiclesRoboticsSoftware
Responsibilities
Design, build, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion pipelines using camera, LiDAR, and radar data
Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch, distributed training infrastructure, and large-scale datasets
Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring performance, stability, and real-time constraints are met
Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to achieve production-level reliability
Contribute to system design, code reviews, best practices, and documentation across the ML and autonomy organization
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry
Master's degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry
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 in 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, spatial transforms, and robotics fundamentals
Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation
Strong software engineering skills in Python or C++, with a focus on clean, maintainable, production-ready code
Excellent communication skills and the ability to collaborate in a fast-paced, cross-functional environment
Preferred
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
Benefits
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
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
501-1000 employees
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (100)
2024 (41)
2023 (33)
2022 (40)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Leadership Team
Peter Vaughan Schmidt
CEO
April Alexander
Human Resources Business Partner
Recent News
2025-12-02
2025-09-12
2025-09-09
Company data provided by crunchbase