Ingénieur(e) “Staff" en apprentissage automatique — Détection de route et de voie
T
Torc RoboticsAutonomous Driving
Canada, United States, EST, PSTFull-TimeStaff
Salary209200 - 313800 CAD per year
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Job Details
- Languages
- English
- Experience
- 10+ years
- Required Skills
- LeadershipPythonSoftware DevelopmentMachine LearningPyTorchMentoringCross-functional collaboration
Requirements
- 10+ years of experience in deep learning model development for perception or computer vision at scale.
- Master's or PhD in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent experience).
- Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation.
- Solid understanding of lane and road geometry modeling, camera calibration, and sensor projection.
- Proficiency in Python and modern machine learning frameworks (e.g., PyTorch, Lightning).
- Experience with distributed training pipelines, experiment management, and large-scale dataset manipulation.
- Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements.
Responsibilities
- Own the model roadmap for road and lane detection.
- Research, design, and train advanced neural architectures.
- Lead data strategy, defining data curation, labeling policies, and active learning pipelines.
- Develop robust metrics and evaluation frameworks.
- Advance fundamental capabilities like self-supervised pre-training.
- Lead large-scale experiments with distributed training workflows.
- Collaborate with other perception teams.
- Mentor engineers and scientists.
- Stay abreast of emerging research techniques.
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