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Deep Learning Algorithm Engineer - REM Semantics (Computer Vision)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Deep Learning Algorithm Engineer - REM Semantics (Computer Vision): Developing AI-powered semantic understanding engines and deep learning algorithms for high-definition mapping and real-world automotive perception with an accent on computer vision, graph neural networks, and efficient inference. Focus on designing, training, evaluating, and deploying neural network architectures, analyzing complex driving edge cases, and improving model accuracy, robustness, and runtime efficiency at scale.

Location: Jerusalem, Israel; hybrid workplace

Company

hirify.global develops autonomous driving and advanced driver assistance technologies, including AI-powered high-definition mapping systems.

What you will do

  • Research and develop AI and deep learning algorithms for real-world automotive perception tasks.
  • Own projects end-to-end, from concept and prototyping through neural network design, training, evaluation, integration, and scalable deployment.
  • Analyze challenging edge cases and improve model performance in complex driving scenarios.
  • Work with large-scale datasets and real-world driving scenarios to improve accuracy, robustness, and runtime efficiency.
  • Collaborate with algorithm developers, software engineers, product managers, and system teams.
  • Deliver production-ready systems that impact autonomous vehicle technologies.

Requirements

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.
  • Strong academic performance and analytical skills.
  • 3+ years of hands-on experience developing deep learning solutions.
  • Proficiency in Python and frameworks such as PyTorch.
  • Strong foundations in algorithms, machine learning, and deep learning.
  • Ownership mindset and ability to work collaboratively.

Nice to have

  • Experience with computer vision or graph neural networks.
  • Experience using AI agents and modern productivity tools in development workflows.
  • Experience with cloud environments and big data tools.

Culture & Benefits

  • Full-time employment in a hybrid workplace.
  • Cross-functional collaboration across algorithms, software, product, and systems teams.
  • Work on large-scale AI systems for autonomous driving and high-end driving assistance.

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