Staff ML Engineer — Road & Lane Perception Leader

Torc Robotics; Montreal; Hybrid; CAD 209,000 - 314,000; Full time

Job summary

A leading autonomous technology firm in Montreal, Quebec, is seeking a Staff Machine Learning Engineer focused on road and lane detection. In this role, you will lead the development of advanced deep learning models that enhance the perception capabilities of autonomous vehicles. The ideal candidate should have over 10 years of experience in deep learning and a strong understanding of lane and road geometry modeling. This position offers a competitive compensation package with hybrid work flexibility.

Benefits

Competitive compensation package

Medical, dental, and vision

RRSP plan with a 4% employer match

Flexibility in schedule

Generous paid vacation

Life Insurance

Qualifications

• 10+ years of experience developing deep learning models.
• Strong understanding of lane and road geometry modeling.
• Experience with distributed training pipelines.

Responsibilities

• Own the model roadmap for Road & Lane Detection.
• Research, design, and train advanced neural architectures.
• Develop metrics and evaluation frameworks for accuracy.

Skills

Deep learning models for perception

Computer vision

Model leadership

Python proficiency

Data curation and labeling

Education

M.S. or Ph.D. in Computer Science or related field

Tools

PyTorch

Lightning

Job description

A leading autonomous technology firm in Montreal, Quebec, is seeking a Staff Machine Learning Engineer focused on road and lane detection. In this role, you will lead the development of advanced deep learning models that enhance the perception capabilities of autonomous vehicles. The ideal candidate should have over 10 years of experience in deep learning and a strong understanding of lane and road geometry modeling. This position offers a competitive compensation package with hybrid work flexibility.