Senior End-to-End ML Engineer — Autonomous Driving

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

Job summary

A leader in autonomous technology is seeking a Staff Machine Learning Engineer to spearhead E2E model development. You will lead the design of architectures that integrate multi-modal sensor inputs into driving actions. The ideal candidate has over 10 years of experience in deep learning systems, particularly in perception and planning. This role is vital in shaping the future of automated trucks, providing a unique opportunity for substantial impact and career advancement. Includes competitive compensation, hybrid work options, and a commitment to diversity.

Benefits

Competitive compensation package

Medical, dental, and vision benefits

RRSP plan with 4% employer match

Flexibility in schedule

Generous paid vacation

Qualifications

• 10+ years of experience in developing deep learning systems for perception, planning, or control.
• Deep expertise in multi-modal ML, sequence modeling, or policy learning.
• Proven track record in large-scale model training and optimization.

Responsibilities

• Lead E2E model design and development, mapping sensor inputs to driving actions.
• Drive large-scale training and evaluation for E2E learning.
• Collaborate with teams to align interfaces and ensure consistency.

Skills

Deep learning systems

Multi-modal ML

Leadership

Python

PyTorch

TensorFlow

Education

M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field

Tools

Ray

Job description

A leader in autonomous technology is seeking a Staff Machine Learning Engineer to spearhead E2E model development. You will lead the design of architectures that integrate multi-modal sensor inputs into driving actions. The ideal candidate has over 10 years of experience in deep learning systems, particularly in perception and planning. This role is vital in shaping the future of automated trucks, providing a unique opportunity for substantial impact and career advancement. Includes competitive compensation, hybrid work options, and a commitment to diversity.