What You’ll Do
Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
Write production-quality ML code to support scalable training, evaluation, and inference pipelines
Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
Contribute to model architecture decisions and technical discussions within the team
Mentor junior engineers on implementation, debugging, and best practices
What You’ll Need to Succeed
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 (e.g., CNNs, transformers, 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 Points
Experience in autonomous driving, robotics, or simulation-based ML systems
Experience with multi-task learning or unified perception architectures
Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
Experience deploying ML models into production or real-world robotics systems
Work Location: For this position, we are open to hiring in Montreal, Canada or remote within Canada
- Perks of Being a Full-time Torc’r (Canada)
- Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
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
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102952
Salary Range: $168,000-$193,000 CAD
