Staff, ML Engineer - Road & Lane Detection

Torc is a leader in autonomous driving, commercializing software for automated trucks. We're seeking a Staff Machine Learning Engineer to lead model development efforts for Road & Lane Detection, with a focus on deep learning architectures and data-driven approaches.

Requirements

• 10+ years of experience developing deep learning models for perception or computer vision at scale
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience)
• Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation
• Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection
• Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning)
• Experience with distributed training pipelines, experiment management, and large-scale dataset handling
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements

Benefits

• Competitive compensation package
• Medical, dental, and vision insurance
• RRSP plan with a 4% employer match
• Public Transit Subsidy
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance