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Senior Computer Vision & Machine Learning Engineer

illumicell AIPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano15 października 2026
Wykryte przez nas
Wykryte przez nas16 października 2026
Zarobki
Zarobki25 000 - 35 000 PLN

illumicell AI is a medical-technology startup developing AI-powered, label-free cell analysis to bring fast, objective diagnostics to the point of care. We are looking for a Senior Computer Vision and Machine Learning Engineer to take technical responsibility for the path from complex imaging challenges to tested, production-quality software for our digital holographic microscope.

Key responsibilities

  • Develop, train, and deploy models for sperm detection, multi-object tracking, and motility measurement using PyTorch.
  • Design robust evaluation systems with versioned model artifacts and clinically relevant metrics.
  • Take technical ownership of computer vision capabilities from problem definition through to deployment.
  • Review experiments and code from the ML team, providing technical mentorship and shared ownership.
  • Define annotation requirements and work with clinical collaborators to maintain high-quality datasets.

Requirements

  • Demonstrated experience shipping computer-vision or image-processing systems in production or clinical environments.
  • Strong Python skills and hands-on production experience with PyTorch or comparable frameworks.
  • Solid understanding of software engineering fundamentals, including unit testing, version control, and code review.
  • Ability to work from incompletely specified goals and determine practical technical steps.
  • Clear communication skills in English and a degree in Computer Science, Engineering, or a related field.

What we offer

  • The opportunity to build the core CV and ML foundation of a regulated medical product.
  • Direct impact on clinical decisions through your algorithms and measurements.
  • A collaborative environment where your contributions shape engineering practices.
  • Fully remote work with flexible hours and reliable overlap with US Eastern Time.

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