[Hiring] Senior Machine Learning / Computer Vision Engineer @Look4IT Sp. z o. o. (KRAZ: 7880)

Role Description

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.

Qualifications

• 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.
• 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.

Requirements

• 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.