Senior, Machine Learning Engineer

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Senior, Machine Learning Engineer in Canada new

Torc Robotics
Full time
Email

Canada
09/22/2026
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Remote

Responsibilities

Design, develop, and deploy deep learning models for camera-based autonomous-vehicle perception.
Own model development from data curation and training through evaluation and deployment.
Build production-quality ML code and scalable training, evaluation, and inference pipelines.
Analyze model performance and failure modes across diverse driving scenarios to improve robustness and generalization.
Improve dataset quality, labeling strategies, distributed training, experiment tracking, tooling, and experimentation workflows.
Collaborate with perception, simulation, data, infrastructure, and validation teams to integrate models into the autonomy stack.
Contribute to model architecture and technical decisions.
Mentor junior engineers on implementation, debugging, and engineering practices.

Requirements

Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field and 6+ years of industry experience, or a master’s degree and 3+ years of experience, or a PhD and 1+ years of experience.
Experience developing and deploying deep learning models for computer vision or perception systems.
Strong programming skills in Python and PyTorch, including production-quality ML code.
Experience training and evaluating models with large-scale datasets and distributed compute environments.
Understanding of modern deep learning architectures such as 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 integrating ML models into larger autonomy or robotics systems.
Preferred experience includes autonomous driving, robotics, simulation-based ML, multi-task or unified perception architectures, large-scale data pipelines, Ray, experiment management frameworks, camera calibration, geometric reasoning, BEV, monocular depth, structure-from-motion, and production or real-world robotics deployment.

Benefits

Competitive compensation package with a bonus component and stock options.
Medical, dental, and vision coverage for full-time employees.
RRSP plan with a 6% employer match.
Public transit subsidy for the Montreal area.
Flexible schedule and generous paid vacation.
Company-wide holiday office closures and life insurance.
Hiring is available in Montreal, Canada, or remotely within Canada.

Salary: Competitive

Torc Robotics

Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated t...

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