Senior Machine Learning / Computer Vision Engineer

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.