Principal, ML Engineer

Montreal, Canada

Torc Robotics

An AV leader since 2007, Torc is commercializing autonomous, self-driving trucks for safe, sustained innovation in the trucking industry.

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About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

What you’ll do: 

The Principal Machine Learning Engineer will define and grow the technical vision for the Autonomy Applications Division, collaborating across teams to drive scalable, high-performance machine learning solutions that power autonomous driving capabilities.

  • Lead the technical architecture for ML solutions within the Autonomy Applications Division, integrating perception, planning, and control systems.
  • Collaborate with stakeholders to design scalable, maintainable ML solutions aligned with Torc's technical vision.
  • Provide technical mentorship, conduct design/code reviews, and promote best practices across engineering teams.
  • Analyze software performance and guide teams in optimizing algorithms for speed, efficiency, and scalability.
  • Troubleshoot and resolve critical issues within the Autonomy Applications stack.
  • Stay current with industry trends and integrate emerging technologies where applicable.

What you’ll need to succeed: 

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field (Master’s/Ph.D. preferred).
  • 15+ years in engineering, with a focus on real-world ML projects, robotics applications, and safety-critical systems.
  • Proficiency in C++ & Python programming (PyTorch, and CUDA preferred.)
  • Strong background in ML model optimization for real-time autonomous systems.
  • Excellent communication and leadership skills to align technical objectives with business goals.
  • Experience with safety-certified coding, vehicle dynamics, control theory, and V&V processes.

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. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Autonomous Driving Computer Science CUDA Engineering Machine Learning Python PyTorch Robotics

Region: North America
Country: Canada

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