Ingénieur(e) “Staff" en apprentissage automatique — Détection de route et de voie

Torc is a leader in autonomous driving technology and is seeking a Staff Engineer in Automated Learning - Route and Road Detection to lead the development of models that enable autonomous vehicles to perceive and interpret road geometry, lane structures, and drivable surfaces. The successful candidate will define the next generation of deep learning architectures and data-driven approaches to extract high-fidelity semantics from multimodal sensor data.

Requirements

• 10+ years of experience in developing deep learning models for perception or computer vision at scale
• Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field
• Deep expertise in semantic segmentation and instance segmentation, BEV modeling, or scene topology estimation
• Solid understanding of road geometry modeling, camera calibration, and sensor projection
• Proficiency in Python and modern deep learning frameworks
• Experience with distributed training pipelines, experiment management, and large-scale data handling
• Proven leadership in guiding technical roadmaps, mentoring engineers, and delivering measurable improvements to models

Benefits

• Competitive compensation package including a bonus and equity options
• Medical, dental, and vision coverage for full-time employees
• Retirement savings plan with a 4% employer contribution
• Public transportation subsidy (only in the Montreal region)
• Flexible hours and generous paid vacation time
• Company-wide holiday closures
• Life insurance