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2 дня назад

Senior Machine Learning Engineer (Computer Vision)

177 300 - 212 800$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 (Computer Vision): Developing and deploying deep learning models for camera-based perception in autonomous trucks with an accent on object detection, segmentation, and scene understanding. Focus on improving model robustness, designing scalable training pipelines, and integrating production-ready CV solutions into the autonomy stack.

Location: Must be based in the United States (Remote or Hybrid in Ann Arbor, MI or Blacksburg, VA)

Salary: $177,300 - $212,800 USD

Company

hirify.global is a leader in autonomous driving focused on developing software for automated trucks as part of the Daimler family.

What you will do

  • Design, develop, 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 deployment.
  • Write production-quality ML code to support scalable training, evaluation, and inference pipelines.
  • Analyze model performance across diverse driving scenarios to identify failure modes and improve generalization.
  • Collaborate with perception, simulation, and validation teams to integrate models into the autonomy stack.
  • Mentor junior engineers on implementation, debugging, and best practices.

Requirements

  • Bachelor’s degree with 6+ years experience, Master’s with 3+ years, or PhD with 1+ years in CS, Robotics, or related field.
  • Experience developing and deploying deep learning models for computer vision or perception systems.
  • Strong programming skills in Python and PyTorch.
  • Experience training and evaluating models using large-scale datasets and distributed compute environments.
  • Solid understanding of CNNs, transformers, and multi-task models.
  • Must be based in the United States.

Nice to have

  • Experience in autonomous driving, robotics, or simulation-based ML systems.
  • Experience with multi-task learning or unified perception architectures.
  • Knowledge of distributed training systems (e.g., Ray) or experiment management frameworks.
  • Familiarity with camera calibration, geometric reasoning, or 3D perception (BEV, monocular depth).

Culture & Benefits

  • Competitive compensation package including a bonus component and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401K plan with a 6% employer match.
  • Flexibility in schedule and generous paid vacation.
  • Company-wide holiday office closures.

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