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1 час назад

Staff ML Engineer (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Staff ML Engineer (AI/Robotics): Developing real-time detection and perception algorithms for autonomous trucking systems with an accent on long-range detection and occupancy networks. Focus on architecting deep learning models for resource-constrained onboard deployment and solving complex sensor fusion challenges.

Location: Remote (US) or Pittsburgh, PA. Must be a U.S. person or meet U.S. national security and export control requirements.

Company

hirify.global is developing AI-driven autonomous systems to enhance safety and efficiency in the trucking transportation industry.

What you will do

  • Lead initiatives to deliver state-of-the-art closed and open-world detection capabilities.
  • Expand and fuse detection models to improve long-range performance.
  • Optimize model frameworks, architectures, and data pipelines.
  • Develop robust software for real-time, resource-constrained 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 technical topics.

Requirements

  • Extensive experience architecting, training, and deploying deep learning models in real-world environments.
  • Proven track record of driving applied research from conception to productization or publication.
  • Experience with detection, segmentation, or tracking for real-time robotic applications.
  • Strong proficiency in software engineering and ML algorithm design.
  • Fluency in Python and experience with C++.
  • Must be able to verify U.S. person status, residence, or citizenship due to U.S. national security laws and export control regulations.

Nice to have

  • Prior experience in sensor fusion.

Culture & Benefits

  • Equal opportunity workplace committed to inclusion and innovation.
  • Culture of entrepreneurship, diversity, and high-impact technical challenges.