Senior ML Engineer - Localization & Perception (Remote)

Torc Robotics; Canada; Hybrid; CAD 199,000 - 299,000; Full time

Job summary

A leading autonomous vehicle technology company is seeking a Senior ML Engineer focused on Localization & Perception. You will design and optimize machine learning models to help autonomous trucks understand their environments. The role requires strong experience in MLE engineering in the autonomous vehicle sector, with a focus on ML tooling such as PyTorch. Opportunities to work both in Montreal and remotely exist, along with a competitive compensation package including bonuses and stock options.

Benefits

Competitive compensation package

Medical, dental, and vision for full-time employees

RRSP plan with a 4% employer match

Public Transit Subsidy (Montreal area only)

Flexible schedule and generous paid vacation

Company-wide holiday office closures

Life Insurance

Qualifications

• 6+ years of professional applied MLE engineering experience in Autonomous Vehicle or Robotics.
• Experience with AV localization systems like LiDAR-based localization.
• Strong understanding of 3D geometry and robotics fundamentals.

Responsibilities

• Design and optimize ML models for localization and sensor fusion.
• Develop high-performance training workflows using frameworks such as PyTorch.
• Collaborate with engineers to integrate models into the autonomy stack.

Skills

Machine Learning

Localization

Perception

Sensor Fusion

Python

C++

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Master’s degree in Computer Science, Software Engineering, or related field

Tools

PyTorch

Kubernetes

Job description

A leading autonomous vehicle technology company is seeking a Senior ML Engineer focused on Localization & Perception. You will design and optimize machine learning models to help autonomous trucks understand their environments. The role requires strong experience in MLE engineering in the autonomous vehicle sector, with a focus on ML tooling such as PyTorch. Opportunities to work both in Montreal and remotely exist, along with a competitive compensation package including bonuses and stock options.