Staff / Principal ML Engineer - Future Consideration

Meet the Team:  

Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking highly experienced machine learning engineers to join our model development department. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI. 

We’re always looking ahead—and that includes building our talent pipeline with exceptional engineers who can help lead the next wave of innovation in autonomy. As we grow, we are actively building a pipeline of exceptional Machine Learning Engineers at the Staff and Principal levels to join our Model Development team in the future. This is an opportunity to connect early, understand your expertise, and consider you for strategic roles as they become available. 

Please Note: This is not an immediate opening. By applying, you’re expressing interest in potential future roles with our teams. 

What You’ll Do 

As a Machine Learning Engineer at Torc, your contributions may span the following areas, depending on your level and specialization: 

ML Model Development 

• Design and implement component based deep learning models for: 

• Object detection, segmentation, and depth estimation on radar, lidar, and vision data 

• Multimodal fusion, BEV space modeling and object tracking 

• Learned trajectory planning and behavior prediction 

• Deep learning-based end to end modeling 

• Research on future deep learning-based technologies in the autonomous driving domain 

Training Pipelines 

• Maintain and optimize data loading, pre- and postprocessing and metrics for robust and scalable training pipelines 

• Work with partially annotated data and varying data sources 

• Analyze model performance, data, and metrics 

Cross-functional Collaboration 

• Collaborate closely with teams in robotics and data engineering as well as with hardware acceleration teams 

• Ensure smooth integration of perception and prediction models into the autonomy stack 

Leadership & Strategy  

• Drive technical roadmap planning and long-term ML strategy 

• Mentor and develop junior engineers and guide cross-functional technical efforts 

• Represent ML expertise in architectural and product decisions 

What We’re Looking For 

• MS or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field 

• 5+ years of professional experience in applied ML for robotics, autonomous systems, or computer vision, preferably in autonomous vehicles industry. 

• Strong proficiency in Python and PyTorch, with experience deploying production-quality models 

Bonus Points! 

• Experience with CUDA programming, custom PyTorch ops, and/or NVIDIA libraries (CUBLAS, CuDNN, NPP) 

• Expertise with distributed computing frameworks (e.g., Ray, AWS) 

• Deep understanding of data-driven development, including edge case discovery and long-tail analysis 

• Applied experience with autonomous vehicle platforms, robotics middleware, or real-time systems 

• Published research or patents in ML/AV-related fields 

Hiring Range for Job Opening  

Canada Pay Range (CAD) 

• Staff: $195,500 - $234,600 
• Principal: $226,400 - $271,700 

Perks of Being a Full-time Torc’r 

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 4% employer match   

• Public Transit Subsidy (Montreal area only.) 

• Flexibility in schedule and generous paid vacation. 

• Company-wide holiday office closures   

• Life Insurance