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Senior Machine Learning / Computer Vision Engineer

Look4IT Domaradzki Sp. J. (KRAZ: 7880)
Remote Posted Oct 5, 2026
Full-timeRemote

About this role

This is a remote position.

For our Client, a US-based MedTech company, we are looking for a Senior Machine Learning / Computer Vision Engineer to join an AI-driven project focused on supporting the diagnosis and analysis of biological material.

The project involves developing Computer Vision models capable of analyzing images of organic/biological material and identifying specific features and biomarkers relevant to medical examination.

Requirements

  • Strong commercial experience in Computer Vision - we are looking for experienced Senior-level engineers.

  • Strong Python skills.

  • Solid Machine Learning background.

  • Hands-on experience with Computer Vision and image processing.

  • Experience with at least one major ML framework, such as PyTorch or TensorFlow.

  • Ability to independently approach technical problems and propose solutions.

  • Very good English - C1 or higher.

  • Strong communication skills and a proactive approach.

  • Ability to work effectively with a distributed international team.

  • Availability or openness to working approximately 12:00-20:00 Polish time, with some flexibility to adjust the schedule, to ensure sufficient overlap with teams based in Boston and San Francisco.

  • Nice to have:

  • Experience in medical imaging.

  • Experience working with biological or microscopy images.

  • Previous experience in MedTech, healthcare, biotechnology, or life sciences.

  • Experience developing ML solutions for image-based diagnostic applications.

  • Experience working with highly specialized or scientific domains.

Benefits

  • Private medical insurance

  • MultiSport card

  • Paid time off (PTO) included within the agreed rate range

  • Possibility to negotiate additional PTO depending on the agreed rate

  • What you can expect:**

  • Work on an AI/Computer Vision project in the MedTech domain.

  • Direct collaboration with an international US-based team.

  • High level of technical ownership and opportunity to influence the development of the solution.

  • Fully remote working model.

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