Senior ML Engineer – Localization

Job not on LinkedIn

3 days ago

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $199.2k - $298.8k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Torc Robotics

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Transport • Hardware • Artificial Intelligence

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

501 - 1000 employees

Founded 2007

🚗 Transport

🔧 Hardware

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 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.

🏖️ 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