
Senior Machine Learning Engineer, Computer Vision
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Create Computer Vision models designed to analyze images of organic or biological materials.
• Identify key features and biomarkers pertinent to medical evaluations.
• Assist in the diagnosis and analysis of biological samples.
• Collaborate closely with an international team based in the US.
• Take an independent approach to technical challenges and suggest solutions.
• Demonstrate a high degree of technical ownership and influence the development of solutions.
• Extensive commercial experience in Computer Vision; suitable for seasoned Senior-level engineers.
• Proficient in Python programming.
• Strong foundation in Machine Learning.
• Practical experience with Computer Vision and image processing techniques.
• Familiarity with at least one major Machine Learning framework, such as PyTorch or TensorFlow.
• Capability to independently tackle technical challenges and propose solutions.
• Proficient in English, with a level of C1 or higher.
• Excellent communication skills and a proactive mindset.
• Ability to collaborate effectively with a distributed international team.
• Willingness to work approximately 12:00-20:00 Polish time, with some flexibility to adjust the schedule to ensure adequate overlap with teams in Boston and San Francisco.
• Experience in medical imaging.
• Background in working with biological or microscopy images.
• Previous experience in MedTech, healthcare, biotechnology, or life sciences sectors.
• Experience in developing Machine Learning solutions for image-based diagnostic applications.
• Familiarity with working in highly specialized or scientific fields.
• Private medical insurance coverage.
• MultiSport card available.
• Paid time off (PTO) included within the agreed rate range.
• Opportunity to negotiate additional PTO based on the agreed rate.
• Fully remote working arrangement.
Lionbridge
CONMED Corporation
Choreo
Get handpicked remote jobs straight to your inbox weekly.