Torc Robotics
Senior, ML Engineer - Offline Perception
Remote - Canada, Montreal, Canada · Senior · Full-time
Sponsorship not specified$199k-$299kDetected 14 days ago
AlgorithmsRESTMachine LearningDeep LearningComputer VisionMLOpsAccessibilityProject ManagementRoboticsElectrical EngineeringSensorsLeadershipMentoring
About the role
- The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc.
- The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data.
Responsibilities
- Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
- Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
- Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
- Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
- Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
- A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
- Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Nice to have
- Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;
- Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR;
- Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience.
Compensation
- $199k-$299k
Benefits
- Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
- Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
Company info
- At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
- Meet The Team:
- Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds).
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This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.