Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Developing and deploying deep learning models for camera-based perception for autonomous trucks with an accent on object detection, segmentation, and scene understanding. Focus on building production-quality ML pipelines, improving model robustness in real-world freight environments, and iterating on large-scale training systems.
Location: Remote in the United States or Canada, or hybrid in Montreal (Canada) or Ann Arbor (USA)
Company
is a leader in autonomous driving software for automated trucks, now part of the Daimler family.
What you will do
- Design and deploy deep learning models for camera-based perception, including object detection, segmentation, and depth estimation.
- Own end-to-end model development from data curation and training to evaluation and production deployment.
- Write production-quality ML code to support scalable training and inference pipelines.
- Analyze model performance across diverse driving scenarios to identify failure modes and improve generalization.
- Partner with data teams to optimize labeling strategies and ensure coverage of edge cases.
- Mentor junior engineers on implementation, debugging, and ML best practices.
Requirements
- Degree in Computer Science, Robotics, or ML with industry experience (6+ years for BS, 3+ years for MS, 1+ year for PhD).
- Experience developing and deploying deep learning models for computer vision or perception systems.
- Strong programming skills in Python and PyTorch.
- Solid understanding of CNNs, transformers, and multi-task model architectures.
- Experience training and evaluating models using large-scale datasets and distributed compute environments.
Nice to have
- Experience in autonomous driving, robotics, or simulation-based ML systems.
- Familiarity with 3D perception (BEV, monocular depth, structure-from-motion).
- Experience with large-scale data pipelines or distributed training systems like Ray.
- Experience with multi-task learning or unified perception architectures.
Culture & Benefits
- Competitive compensation package including bonuses and stock options.
- Comprehensive medical, dental, and vision insurance for full-time employees.
- RRSP plan with a 6% employer match for Canadian employees.
- Flexible schedules and generous paid vacation.
- Public transit subsidy for those in the Montreal area.
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