3 дня назад
Algorithm Developer (AI)
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
Algorithm Developer (AI): Building AI-powered deep learning systems for detecting road and infrastructure changes from large-scale crowd-sourced driving data with an accent on neural network design, Graph Neural Networks, and efficient inference. Focus on training and evaluating models, resolving complex perception edge cases, and deploying scalable production systems for autonomous driving.
Location: Jerusalem, Israel; hybrid workplace
Company
Develop autonomous driving technologies, including mapping, accident prevention, and semi- and fully autonomous vehicles.
What you will do
- Own algorithm projects from research and prototyping through neural network design, training, evaluation, integration, and scalable deployment.
- Build deep learning engines that detect road and infrastructure changes in large-scale crowd-sourced data.
- Process driving data and improve model accuracy, robustness, and runtime efficiency.
- Investigate challenging edge cases in complex real-world driving scenarios.
- Collaborate with algorithm developers, software engineers, product managers, and system teams.
- Deliver production-ready systems that support autonomous vehicle technologies.
Requirements
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.
- At least 1 year of hands-on experience developing deep learning solutions.
- Strong Python and PyTorch skills.
- Solid foundation in algorithms, machine learning, and deep learning.
- Strong analytical skills, ownership, and collaborative teamwork.
Nice to have
- Experience with Graph Neural Networks.
- Experience using AI agents and modern productivity tools in development workflows.
- Experience with cloud environments and big data tools.
Culture & Benefits
- Hybrid work environment.
- Cross-functional collaboration across research, engineering, product, and systems groups.
- Opportunity to work on technologies used in autonomous vehicles worldwide.
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