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1 день назад

Senior Machine Learning Engineer (AI)

Формат работы
remote (только United_states/Canada)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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