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5 часов назад

Experienced Machine Learning Engineer (Computer Vision)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Experienced Machine Learning Engineer (Computer Vision): Researching and developing end-to-end 3D perception models for autonomous vehicles with an accent on geometry, semantics, and multi-camera deep learning. Focus on 3D semantic occupancy, reconstruction, object detection, multi-view fusion, and deploying models into production vehicles.

Location: Ramat Gan, Israel; hybrid workplace

Company

hirify.global develops technologies for accident prevention and semi- and fully autonomous vehicles.

What you will do

  • Research and develop end-to-end 3D perception models combining geometric and semantic understanding.
  • Build solutions for 3D semantic occupancy, geometry reasoning, 3D reconstruction, and 3D object detection.
  • Develop multi-view fusion, motion handling, and spatial representation learning methods.
  • Deploy perception models on real vehicles and integrate them into production systems.

Requirements

  • 4+ years of hands-on experience in machine learning and deep learning.
  • M.Sc. in machine learning, computer vision, robotics, or a similar relevant field.
  • B.Sc. from a leading university.
  • Strong Python development skills.
  • Ability to work proactively in a fast-paced research and development environment and solve challenging problems.

Nice to have

  • PhD or relevant academic publications.
  • Experience with Linux, Git, Docker, or C++.
  • Knowledge of 3D perception, computer vision, or robotics.
  • Industry experience in computer vision and deep learning.

Culture & Benefits

  • Work in an R&D environment focused on advanced autonomous-driving technologies.
  • Contribute to products designed to improve vehicle safety and automation.
  • Collaborate on research and production challenges involving real-world vehicle deployment.

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