Senior Machine Learning Engineer – Camera Model

🕒 September 21

🇨🇦 Canada – Remote

💵 $168k - $193k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

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.

📋 Description

• Develop and deploy machine learning models for camera-based perception in autonomous trucks, including object detection, segmentation, depth estimation, and scene understanding • Own end-to-end model development from data curation and training through evaluation and deployment • Write production-quality ML code for scalable training, evaluation, and inference pipelines • Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization • Improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking • Partner with data teams on dataset quality, labeling strategies, and edge-case coverage • Collaborate with perception, simulation, and validation teams to integrate models into the autonomy stack • Improve tooling, workflows, and infrastructure for experimentation and model iteration • Contribute to model architecture decisions and technical discussions • Mentor junior engineers on implementation, debugging, and best practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience • Experience developing and deploying deep learning models for computer vision or perception systems • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code • Experience training and evaluating models using large-scale datasets and distributed compute environments • Solid understanding of modern deep learning architectures used in perception, including CNNs, transformers, and multi-task models • Experience debugging model behavior, analyzing performance metrics, and improving model reliability • Ability to translate ambiguous problems into structured ML solutions and deliver independently • Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems • Bonus: Experience in autonomous driving, robotics, or simulation-based ML systems • Bonus: Experience with multi-task learning or unified perception architectures • Bonus: Experience with large-scale data pipelines, distributed training systems such as Ray, or experiment management frameworks • Bonus: Familiarity with camera calibration, geometric reasoning, or 3D perception from images, including BEV, monocular depth, and structure-from-motion • Bonus: Experience deploying ML models into production or real-world robotics systems

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • Medical, dental, and vision for full-time employees • RRSP plan with a 6% employer match • Public Transit Subsidy (Montreal area only) • Flexibility in schedule and generous paid vacation • Company-wide holiday office closures • Life Insurance • Potential sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package

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