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2 месяца назад

Senior Ml Engineer (Localization)

199 200 - 298 800$
Формат работы
remote (только USA)
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

Текст:
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TL;DR

Senior Ml Engineer (Localization): Build and optimize machine learning models for autonomous truck localization using sensor fusion, map-based localization, and pose estimation with an accent on real-time performance and robustness. Focus on designing scalable training workflows, integrating models into autonomy stacks, and improving model reliability in challenging environments.

Location: Remote - US, Ann Arbor, MI

Salary: $199,200 - $298,800

Company

hirify.global is a leader in autonomous vehicle technology focused on developing software for automated trucks, now part of the Daimler family.

What you will do

  • Design, build, and optimize ML models for localization using camera, LiDAR, and radar data.
  • Develop high-performance training and evaluation workflows with PyTorch and distributed infrastructure.
  • Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack.
  • Analyze failure cases, improve model robustness, and drive rigorous experimentation.
  • Contribute to system design, code reviews, and documentation across ML and autonomy teams.

Requirements

  • Location: Must be based in the US or able to work remotely within the US.
  • Bachelor’s degree with 6+ years or Master’s degree with 3+ years of applied ML engineering experience in Autonomous Vehicle or Robotics.
  • Experience with AV or robotics localization systems such as LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation.
  • Proficiency with PyTorch, Python or C++, and strong software engineering skills.
  • Strong understanding of 3D geometry, probabilistic estimation, and robotics fundamentals.
  • Excellent communication skills and ability to collaborate in fast-paced environments.

Nice to have

  • Experience with distributed computing tools like Ray or Kubernetes.
  • Knowledge of embedded and real-time constraints for on-vehicle deployment.
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.
  • Contributions to open-source robotics, perception, or ML frameworks.

Culture & Benefits

  • Competitive compensation including bonus and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401K plan with 6% employer match.
  • Flexible schedule and generous paid vacation available immediately.
  • Company-wide holiday office closures and life insurance benefits.

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