Senior, Machine Learning Engineer - Camera Model
Torc Robotics4 hours ago
Remote, Canada or Montréal, CanadaSenior
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.
Categories
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.