Role Summary

The Senior Machine Learning Software Engineer plays a crucial role in leading the design and development of image processing modules for neurovascular OCT and X-ray datasets, from initial feasibility investigations to fully developed solutions.  The primary focus is on developing Machine Learning (ML) solutions, as well as optimizing code and implementing additional data processing steps.  This individual will lead ML initiatives and be responsible for various aspects of the projects, including thorough documentation.

Essential Responsibilities

• Conduct Machine Learning (ML) research to evaluate optimal solutions for the reconstruction, segmentation, registration, classification, and detection image processing tasks. Develop rapid prototypes to demonstrate new features and ideas.
• Following initial research activities, complete the development of optimized ML models for the tasks listed above.
• Develop pre- and post-processing algorithms to complement ML models, providing comprehensive solutions for image and signal processing needs.
• Collaborate closely with the software development team.
• Debug and test code. Help maintain internal software tools and scripts.
• Follow company standard operating procedures. Create and maintain the required documentation.
• Participate in code review, and planning processes. Engage in software architecture design, and review meetings.
• Participate in the evaluation of supporting software, including Software of Unknown Pedigree (SOUP).
• Supervise the work of other ML engineers.
• Perform other duties as assigned.

Experience & Preferred Qualifications

Required

• A minimum of 8 years of experience with Machine Learning.
• Experience with medical imaging modalities such as CT, MRI, OCT, and ultrasound.
• Experience with Machine Learning for image and signal processing in medical applications, including reconstruction, segmentation, registration, classification, and feature detection tasks.
• Proficiency in programming with Python (or similar languages) and packages such as TensorFlow, PyTorch, and Keras.
• Experience in the development of traditional image processing algorithms.
• Ability to use version control systems (e.g., Git).

Preferred

• Experience with multi-threaded C++, C#, Rust, Go, or similar languages.
• Experience with Qt/QML Framework.
• Experience with image processing packages such as OpenCV, ITK, and VTK.
• Experience with JavaScript, Ruby, or similar scripting languages.
• Experience AWS, Azure, and Cloud solutions.
• Experience with cybersecurity for medical devices.
• Experience in Good Machine Learning Practice (GMLP) for medical device development and similar regulations.

Educational Requirements

• Sc., M.Sc., or Ph.D. in Computer Science, Software Engineering, Computer Engineering, or a related discipline, or equivalent work experience.

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