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9 дней назад

Staff Machine Learning Engineer (Autonomous Driving)

215 500 - 258 600$
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

Текст:
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TL;DR
Staff Machine Learning Engineer (Autonomous Driving): Developing BEV and multi-modal perception models that unify camera, LiDAR, radar, and HD map data for autonomous trucks with an accent on 3D scene understanding, large-scale training, and robust spatial representations. Focus on designing foundational perception architectures, improving performance in long-tail driving conditions, and establishing evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer.

Location: Remote in the United States or hybrid in Ann Arbor, Michigan

Salary: $215,500–$258,600 USD annually, plus bonus and stock options

Company

hirify.global develops software for automated trucks and autonomous driving systems as part of the Daimler family.

What you will do

  • Lead the technical roadmap and development of BEV perception models for detection, segmentation, road topology, and scene understanding.
  • Design multi-modal architectures that fuse camera, LiDAR, radar, and HD map data into unified spatial representations.
  • Develop foundational perception models using BEV transformers, voxel-based encoders, and implicit scene representations.
  • Own large-scale data sampling, augmentation, distributed training, and hyperparameter optimization workflows.
  • Improve robustness and generalization in low-visibility, occluded, and rare driving scenarios.
  • Build evaluation frameworks and collaborate with calibration, mapping, and fusion teams while mentoring ML engineers.

Requirements

  • 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.
  • Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
  • Expertise in BEV modeling, 3D scene understanding, multi-view fusion, and camera-LiDAR sensor integration.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with large-scale data pipelines, distributed training, experiment management, and ML model innovation.
  • Demonstrated technical leadership and experience mentoring engineering teams.

Nice to have

  • Production experience in autonomous driving or robotics perception.
  • Experience with MLOps and Ray.
  • Experience with 3D labeling, calibration, sensor simulation, or spatial-temporal modeling.
  • Publications or open-source contributions in venues such as CVPR, ICCV, NeurIPS, ICRA, or CoRL.
  • Understanding of latency, memory, accuracy, and other deployment tradeoffs.

Culture & Benefits

  • Collaborative, energetic, and team-focused work environment.
  • 100% company-paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible scheduling, generous paid vacation available immediately after starting, and company-wide holiday office closures.
  • AD&D and life insurance.

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