Senior, ML Engineer - Offline Perception
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior, ML Engineer - Offline Perception based in Canada.
This role sits at the core of building high-quality perception systems that enable autonomous driving technology to learn from real-world sensor data at scale. You will design and develop advanced offline machine learning models that transform logged camera, lidar, and radar data into precise annotations used for training and validating autonomous systems. Operating within a cutting-edge AI and robotics environment, you will contribute to improving object detection, tracking, sensor fusion, and large-scale data curation pipelines. The work directly impacts the performance and safety of autonomous trucking systems by improving the quality of training datasets. You will also play a leadership role, guiding technical direction, mentoring engineers, and influencing architecture decisions. This is a highly impactful position at the intersection of deep learning, computer vision, and large-scale distributed systems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior, ML Engineer - Offline Perception based in Canada.
This role sits at the core of building high-quality perception systems that enable autonomous driving technology to learn from real-world sensor data at scale. You will design and develop advanced offline machine learning models that transform logged camera, lidar, and radar data into precise annotations used for training and validating autonomous systems. Operating within a cutting-edge AI and robotics environment, you will contribute to improving object detection, tracking, sensor fusion, and large-scale data curation pipelines. The work directly impacts the performance and safety of autonomous trucking systems by improving the quality of training datasets. You will also play a leadership role, guiding technical direction, mentoring engineers, and influencing architecture decisions. This is a highly impactful position at the intersection of deep learning, computer vision, and large-scale distributed systems.