Senior, ML Engineer - Offline Perception (Winnipeg)
Location
winnipeg, mb
Job Type
Full-time
Category
Other-General
Posted
June 02, 2026
About the Company
Torc has been a leader in autonomous driving since 2007, spending over a decade commercializing solutions with experienced partners. Now a part of the Daimler family, we focus on developing software for automated trucks to transform freight movement. Meet The Team
The Pseudo-Labeling team creates high-quality annotations on sensor data (images, point clouds) such as 2D/3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, etc. These annotations train perception models and support simulation teams. What You’ll Do
Design, implement, test and deploy offline object detection, tracking and fusion modules to automate annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars). Serve as project lead, guiding less experienced team members in multiple facets of project execution. Stay up to date with the latest developments in AI and ML for autonomous driving. Independently develop offline perception models ...
Torc has been a leader in autonomous driving since 2007, spending over a decade commercializing solutions with experienced partners. Now a part of the Daimler family, we focus on developing software for automated trucks to transform freight movement. Meet The Team
The Pseudo-Labeling team creates high-quality annotations on sensor data (images, point clouds) such as 2D/3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, etc. These annotations train perception models and support simulation teams. What You’ll Do
Design, implement, test and deploy offline object detection, tracking and fusion modules to automate annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars). Serve as project lead, guiding less experienced team members in multiple facets of project execution. Stay up to date with the latest developments in AI and ML for autonomous driving. Independently develop offline perception models ...