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Browse thousands of tech jobs at Japanese startups and companies. Translated for foreign engineers.

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Jobs→Idein株式会社→[Machine Learning Engineer (Lead Class)] Remote / Discretionary Labor System / Lead Development of Machine Learning Algorithms

[Machine Learning Engineer (Lead Class)] Remote / Discretionary Labor System / Lead Development of Machine Learning AlgorithmsEnglish summary from Japanese

Idein株式会社

✓ Detailed
Salary
882万円 〜 1,148万円
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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

Idein is seeking a Lead Machine Learning Engineer to develop cutting-edge algorithms for processing real-world data on their edge AI/IoT platform, Actcast. You will lead algorithm development, from requirements definition to verification, contributing to the company's mission of making real-world information processable by software.

Must-haves

  • Master's degree in science/engineering or equivalent experience
  • 5+ years of practical experience in machine learning, especially deep learning
  • Experience developing technologies for processing real-world data (images, point clouds, audio)
  • Proficiency in Python and ML libraries/frameworks
  • Proven experience leading multi-person projects
  • Native-level Japanese proficiency

Nice-to-haves

  • Ph.D. in science/engineering
  • Experience in domain application of ML technologies
  • Experience in projects requiring external collaboration
  • Project management experience
  • Knowledge in image processing, computer vision, or computer graphics
  • Development experience on edge devices (e.g., Raspberry Pi)

Tech stack

PythonPyTorchGitHubSlackGoogle WorkspaceNotionDockerLinuxCompute ClustersRaspberry PiJetson

Work style

Remote work possible / On-site presence and business trips may be required as needed. Specialized Professional Discretionary Labor System.

Other notes

Annual salary: ¥8,820,000 - ¥11,480,000

About the Company

Idein株式会社

Headquarters
東京都千代田区神田神保町1-4-13
Visit Website
Posted6/30/2026
Sourcefindy