Senior, ML Engineer - Localization

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.

As a Senior ML Engineer focused on Localization & Perception,you’llbuildthemachine-learningcomponentthat enables

Torc’s autonomoustrucksto 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 ofMLengineers and researchersin Autonomy,you’ll collaborate closelyacross MLteams to build production-grade solutions that advance Torc’s mission of safe, reliable autonomous trucking.

• 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 andevaluationworkflows,leveragingframeworks such asPyTorch, 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.

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professionalapplied MLE engineeringexperiencein Autonomous Vehicle,Roboticsor 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,Roboticsor 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 modelsinperception,localization, or sensor fusion domains.
• Proficiency with Py Torchand  modern ML tooling for training, inference, and optimization.
• Solid understanding of 3D geometry, probabilistic estimation, spatialtransforms, 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.

• Familiarity with distributedcomputingtools such as Ray, Kubernetes, or similar orchestration frameworks.
• Knowledge of embeddedandreal-time constraints for on-vehicle deployment.
• Contributions to open-source robotics,perception, or ML frameworks.

• A competitive compensation package that includes a bonuscomponentand 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 (availableimmediatelyafter start date)
• Company-wide holiday office closures
• AD+D and Life Insurance

At Torc,we’recommitted to building a diverse and inclusive workplace. We celebrate the uniqueness of ourTorc’rsand do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if youdon’tmeet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

US Base Pay Range:

$199,200- $298,800

Job : R-102401