Senior, ML Engineer - Localization
About The Position
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team As a Senior ML Engineer focused on Localization & Perception, you’ll build the machine-learning component that enables Torc’s autonomous trucks to understand precisely where they are in the world. We work across sensor fusion, map-based localization, and learning-based pose estimation to deliver robust, real-time localization in challenging environments. As part of a multidisciplinary group of ML engineers and researchers in Autonomy, you’ll collaborate closely across ML teams to build production-grade solutions that advance Torc’s mission of safe, reliable autonomous trucking.
Requirements
- 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.
Nice To Haves
- 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.
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
501-1,000 employees
