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Aidoc

Builds AI that flags urgent findings in medical scans

AI Software Tech Lead - Machine Learning

Software EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • At least 7 years of experience developing large-scale production systems, including architecture design, research, development, and testing.
  • Deep understanding of computer science fundamentals, including object-oriented design, code optimization, and complexity.
  • Strong experience with Python.
  • Ability to lead end-to-end development processes.
  • Ability to work effectively with a cross-functional team.

Responsibilities

  • Design, develop, and lead software development of infrastructure for innovative artificial intelligence algorithms for computer vision and natural language processing in medical imaging.
  • Collaborate with researchers, product managers, and other cross-functional teams to develop new artificial intelligence products and features.
  • Apply software engineering capabilities across core parts of the artificial intelligence systems.
  • Develop and maintain high-quality, scalable, and efficient code.
  • Explore and adopt technological advances in relevant domains, such as scalable cloud-based systems, deep learning and computer vision software frameworks, and large-scale machine learning systems.

Desired Qualifications

  • Experience with deep learning frameworks such as TensorFlow and PyTorch.
  • Experience developing artificial intelligence and machine learning solutions, particularly in computer vision and natural language processing.

About the Company

Aidoc

Builds AI that flags urgent findings in medical scans

Aidoc uses artificial intelligence to analyze medical images and assist radiologists. Its aiOS platform plugs into hospital PACS and runs in the background to flag urgent findings on CT and X-ray scans, sending alerts to radiologists and clinical teams to speed diagnosis and treatment. It operates as an enterprise system that can run Aidoc’s own algorithms alongside third-party AI apps within existing workflows. The company aims to improve patient outcomes and hospital efficiency by triaging time-sensitive cases and is regulated with FDA clearances and CE marks while pursuing CARE to accelerate the development of new imaging algorithms.

Company size
501-1,000
Company stage
Series E
Total funding
$563.5M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2016

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