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6 дней назад

Algorithm Developer (Computer Vision)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Algorithm Developer (Computer Vision/Deep Learning): Developing applied machine learning solutions for challenging e-beam inspection and semiconductor metrology problems with an accent on computer vision, image processing, and deep learning. Focus on designing end-to-end algorithms, implementing solutions in Python, and achieving state-of-the-art performance for customer-facing products.

Location: Rehovot, Israel

Company

hirify.global develops materials science and engineering solutions, including machine learning and computer vision-based metrology and inspection products for semiconductor manufacturing.

What you will do

  • Develop algorithms for challenging and diverse problems in the e-beam inspection field.
  • Build machine learning solutions for computer vision, image processing, and yield control.
  • Deliver end-to-end algorithmic solutions to customers.
  • Conduct applied research focused on surpassing state-of-the-art performance.
  • Collaborate on multidisciplinary products and contribute to semiconductor inspection and metrology solutions.

Requirements

  • Master's degree or higher in exact sciences.
  • At least 4 years of algorithm development experience.
  • Practical experience with computer vision, machine learning, and deep learning.
  • Extensive coding experience in Python.
  • Innovative mindset, strong self-learning ability, and a can-do approach.
  • Relocation is not available for this position.

Culture & Benefits

  • Supportive environment focused on learning, development, and career growth.
  • Collaborative and creative work culture.
  • Work with a world-class team on innovative research and high-impact applications.
  • Employee health and wellbeing programs and support.
  • Travel is required for approximately 10% of the time.

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