Senior Computer Vision Engineer (Automotive)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Computer Vision Engineer (Automotive): Designing and developing robust 3D reconstruction and clustering algorithms for automated vehicle inspection systems with an accent on combining classical and Deep Learning approaches. Focus on creating proof-of-concepts for new products and optimizing algorithmic performance on proprietary datasets.
Location: Tel-Aviv (Onsite)
Company
develops an AI-driven automated suite of vehicle inspection systems to redefine vehicle safety and reliability on a global scale.
What you will do
- Design and develop novel, robust, and efficient 3D reconstruction and clustering algorithms.
- Combine classical and Deep Learning algorithms to solve major Vision challenges.
- Create Proof of Concepts (PoC) for new products and technologies.
- Evaluate and benchmark different algorithms using unique proprietary datasets.
- Collaborate with team members to define future technology and features.
Requirements
- 4+ years of industry experience in developing and productizing Computer Vision algorithms.
- Deep expertise in 3D reconstruction, monocular depth estimation, and clustering.
- Proficiency in Python.
- Experience with major CV frameworks and pipelines such as OpenCV and COLMAP.
- Excellent English proficiency.
- Must be based in Tel-Aviv.
Nice to have
- Experience with Deep Learning frameworks such as PyTorch or TensorFlow.
- Experience with Tracking, SFM, SLAM, mono-color depth, or Point Cloud Registration.
Culture & Benefits
- Work with cutting-edge AI, machine learning, and computer vision technologies.
- Opportunity to drive global impact on automotive safety and reliability.
- Rapid career growth within a well-funded company supported by strategic industry partnerships.
- Collaborative environment that celebrates diversity and teamwork.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →