Senior Machine Learning / Computer Vision Engineer
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
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Job 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.
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.