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: 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.
This position is open to all candidates.