About the company

Scopio Labs is a fast-growing medical technology company transforming the fields of hematology and cell morphology analysis with innovative technology. As a team, we work to enable faster, earlier detection and diagnosis of blood-related diseases, so patients can start treatment sooner and have better outcomes. We are collaborative and global - and every individual at Scopio Labs is part of a life-saving mission.

What you'll be doing

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:

• Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
• Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
• Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

Requirements:

• B.Sc. in math, physics, electrical engineering, computer science, or a related field is required; an M.Sc., particularly with a background in computer vision, is strongly preferred
• 5+ years of industry experience in a similar role
• Strong mathematical background with an understanding of deep learning networks
• Proficiency with PyTorch and/or TensorFlow
• Excellent software design and Python programming skills
• Familiarity with modern software development processes and tools, with an emphasis on code quality and documentation
• Ability to lead concept development from design through implementation, testing, and deployment
• Aptitude for analyzing computer vision challenges and collaborating with experts to deliver state-of-the-art classic, ML, and/or DL solutions

The ideal candidate will also have:

• Experience optimizing code using CPU & GPU
• Experience with multiprocessing, Docker, and Linux memory management
• Experience with MLops, both training and serving
• Background in medical devices