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Staff ML Engineer (Autonomous Systems)

Формат работы
remote (только USA)/onsite
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 ML Engineer (Autonomous Systems): Leading the development and optimization of real-time perception algorithms for autonomous trucking with an accent on occupancy networks, long-range detection, and sensor fusion. Focus on architecting robust deep learning models for safety-critical, resource-constrained onboard environments.

Location: Must be based in the U.S. (Pittsburgh, PA or Remote within the U.S.)

Company

hirify.global develops advanced autonomous systems and AI solutions tailored to the unique safety and efficiency demands of the trucking transportation industry.

What you will do

  • Lead initiatives to deliver state-of-the-art closed and open-world detection capabilities.
  • Improve and expand detection models, architectures, and data pipelines.
  • Develop robust software for real-time, safety-critical onboard vehicle deployment.
  • Drive cross-functional workstreams from problem definition to final delivery.
  • Contribute to the technical direction of the perception organization and build consensus on challenging topics.

Requirements

  • Must be a U.S. person or citizen due to national security and export control regulations.
  • Extensive experience architecting, training, and deploying deep learning models in real-world environments.
  • Proven track record of driving applied research projects from conception to productization.
  • Experience delivering detection, segmentation, or tracking solutions for real-time robotic applications.
  • Fluency in Python and strong experience with C++.

Culture & Benefits

  • Commitment to building a culture of inclusion, entrepreneurship, and innovation.
  • Opportunity to work on cutting-edge autonomous technology for the trucking industry.
  • Focus on safety-critical, high-impact engineering challenges.
  • Equal opportunity workplace dedicated to diverse teams and outcomes.

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