Staff Machine Learning Software Engineer

Spryte Medical•Bedford, MA

About The Position

The Staff Machine Learning Software Engineer develops advanced image processing and machine learning solutions for neurovascular Optical Coherence Tomography and angiographic imaging applications. The role spans the full development lifecycle, from feasibility investigations and algorithm prototyping through productization, verification, validation, and deployment in regulated medical device software systems. The engineer provides technical leadership in image processing and machine learning and contributes to the architecture, design, development, and maintenance of ML-enabled solutions within the company's imaging platform.

Requirements

M.S. or Ph.D. in Computer Science, Computer Engineering, Software Engineering, Biomedical Engineering, or a related technical field, or equivalent industry experience.
Minimum of 8 years of experience developing image processing and machine learning solutions; medical imaging or regulated healthcare experience is preferred.
Strong expertise in one or more machine learning frameworks; PyTorch is preferred.
Strong proficiency in Python and scientific computing ecosystems.
Demonstrated experience developing and deploying traditional image processing and computer vision algorithms.
Experience with software development best practices, including version control systems such as Git.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and cross-functional collaboration abilities.

Nice To Haves

Experience with medical imaging platforms and toolkits such as OpenCV, ITK, VTK, MONAI, or similar frameworks.
Experience with X-ray imaging systems for angiography applications.
Experience with cloud-based machine learning workflows and MLOps practices.
Knowledge of cybersecurity principles and secure software development practices for medical devices.
Experience applying Good Machine Learning Practice (GMLP) principles and working within regulated medical device development environments.
Familiarity with FDA, EU MDR, IEC 62304, ISO 13485, ISO 14971, IEC 81001-5-1, and related medical device software standards and regulations.

Responsibilities

Evaluate and develop image processing methodologies for image reconstruction, segmentation, registration, classification, detection, and quantitative image analysis.
Investigate and assess traditional image processing, computer vision, and machine learning approaches to meet clinical and product requirements.
Design, implement, optimize, and maintain production-quality image processing and machine learning algorithms.
Collaborate with software engineers, scientists, clinical experts, and product stakeholders throughout development.
Contribute to the design and evolution of machine learning development frameworks, infrastructure, and best practices.
Develop, debug, test, and optimize software components and machine learning pipelines.
Support maintenance and enhancement of internal software tools, datasets, and development utilities.
Participate in software architecture, design reviews, and technical planning.
Conduct code reviews and contribute to software quality, reliability, and maintainability initiatives.
Evaluate and integrate third-party and off-the-shelf software components when appropriate.
Follow quality system processes, standard operating procedures, and software development practices, including creating and maintaining required documentation.
Provide technical guidance and mentorship to machine learning engineers and other software team members.
Stay current with advances in machine learning, computer vision, and medical imaging.
Perform other duties as assigned.