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Senior Machine Learning Engineer - Camera Model

Jobgether • Canada
Relocation
This Job is No Longer Active This position is no longer accepting applications

Design and deploy deep learning models for camera-based perception tasks. Collaborate with perception, data, and simulation teams. Contribute to improvements in training infrastructure and workflows.

Key Highlights
Design and deploy deep learning models for camera-based perception tasks
Collaborate with perception, data, and simulation teams
Contribute to improvements in training infrastructure and workflows
Key Responsibilities
Design, develop, and deploy deep learning models for camera-based perception tasks
Own end-to-end machine learning workflows, including data curation, model training, evaluation, and production deployment
Analyze model performance across varied driving conditions, identify failure cases, and improve robustness and generalization
Technical Skills Required
Python PyTorch CNNs Transformers Multi-task learning models
Benefits & Perks
Competitive compensation package
Comprehensive health coverage
RRSP retirement plan
Flexible hybrid or remote work arrangements
Generous paid time off
Life insurance coverage
Support for relocation and sign-on bonuses
Nice to Have
Experience in autonomous driving, robotics, 3D perception, BEV modeling, or large-scale ML pipelines

Job Description

This role focuses on building advanced computer vision systems that form a core part of an autonomous driving stack for next-generation freight transportation. You will design and deploy deep learning models that enable vehicles to perceive and interpret complex real-world environments using camera data. Working at the intersection of machine learning, robotics, and large-scale production systems, you will contribute to the safety and reliability of autonomous trucks operating in diverse and challenging driving conditions. The position offers strong ownership across the full ML lifecycle, from data preparation and model design to deployment and continuous improvement. You will collaborate closely with perception, data, and simulation teams to ensure models perform robustly in real-world scenarios. This is a high-impact role suited for engineers who enjoy solving applied ML problems with direct real-world impact in autonomous systems.
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