Senior Machine Learning Engineer – Localization

Job not on LinkedIn

53 minutes ago

Apply Now

Receive Emails with Similar Jobs

Torc Robotics

WebsiteLinkedInAll Job Openings

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 learning-based pose estimation, map-matching, and sensor-fusion pipelines using data from cameras, LiDAR and radar. • 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 and stability to meet real-time constraints. • Analyze failures, run ablation studies, improve model robustness, and conduct rigorous experiments to achieve production-grade 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 a related field with at least 6 years of professional experience in applied ML engineering for autonomous vehicles, robotics, or a related domain. • Master's degree in computer science, software engineering or a related field with at least 3 years of professional experience in applied ML engineering for autonomous vehicles, robotics, or a related domain. • Experience with AV or robotic localization systems (e.g., LiDAR-based localization, visual odometry, simultaneous localization and mapping (SLAM), or map-based pose estimation). • Extensive 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. • Strong understanding of 3D geometry, probabilistic estimation, spatial transformations, and fundamental robotics concepts. • Proven ability to work with large multimodal datasets and to build scalable pipelines for data processing, labeling, and evaluation. • Strong software engineering skills in Python or C++, with an emphasis on clean, maintainable, production-ready code. • Excellent communication skills and the ability to collaborate in a fast-paced, multidisciplinary environment.

🏖️ Benefits

• Competitive compensation package including a bonus component and stock option plan • Medical, dental, and vision coverage for full-time employees • Retirement savings plan (RRSP) with a 4% employer contribution • Public transit subsidy (Montreal region only) • Flexible working hours and generous paid time off • Company-wide office closures for public holidays • Life insurance