2 дня назад
AI Algorithm Engineer (Vision Localization)
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
AI Algorithm Engineer (Vision Localization) (Computer Vision/Deep Learning): Developing centimeter-level vehicle localization algorithms from surround-camera systems for high-definition 3D maps with an accent on geometric reasoning, scene understanding, and spatial accuracy. Focus on designing Transformers, GNNs, and CNNs, combining learned models with classical optimization, and deploying robust localization systems for autonomous driving.
Location: Ramat Gan, Israel; hybrid workplace
Company
Develops autonomous driving technology that uses surround-camera systems, high-definition 3D maps, computer vision, and deep learning for precise vehicle localization.
What you will do
- Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
- Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
- Solve problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
- Combine learning-based methods with classical optimization and geometric algorithms.
- Own the lifecycle from prototyping through production deployment and improve robustness using real-world driving data.
- Develop high-precision localization and map-consistency solutions at production scale.
Requirements
- 2+ years of practical experience developing computer vision or machine learning solutions.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.
- Strong foundations in algorithms, data structures, computer vision, and deep learning.
- Strong analytical skills, ownership, and ability to work collaboratively.
Culture & Benefits
- Hybrid work arrangement in Ramat Gan, Israel.
- Work on autonomous driving localization in complex real-world environments.
- End-to-end ownership from algorithm prototyping to production deployment.
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