5 часов назад
Outstanding Graduate - Machine Learning Engineer (Computer Vision)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Outstanding Graduate - Machine Learning Engineer (Computer Vision) (3D perception for autonomous vehicles): Developing multi-camera deep learning systems for close-range 3D perception, enabling automated parking and low-speed vehicle maneuvers with an accent on geometry, semantics, and spatial representation learning. Focus on researching 3D occupancy, reconstruction, object detection, and multi-view fusion, then integrating models into production systems running on real vehicles.
Location: Ramat Gan, Israel; hybrid workplace
Company
Develops autonomous driving technologies, including systems for accident prevention and semi- and fully autonomous vehicles.
What you will do
- Research and develop end-to-end 3D perception models combining geometric reasoning and semantic understanding.
- Build solutions for 3D semantic occupancy, 3D reconstruction, and 3D object detection.
- Develop multi-view fusion, motion handling, and spatial representation learning methods.
- Deliver models that run on real vehicles and integrate them into production systems.
Requirements
- M.Sc. in machine learning, computer vision, robotics, or a similar relevant field.
- B.Sc. from a leading university.
- Strong background in machine learning and deep learning.
- Strong Python development skills.
- Motivation, initiative, and the ability to solve challenging problems in a fast-paced R&D environment.
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 a hands-on research and development environment.
- Contribute to technologies for safer automated and autonomous driving.
- Collaborate on systems deployed in real vehicles.
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