Join a global leader in applying deep learning to medical imaging as a Machine Learning Software Engineer. Design, build, and deploy AI-powered medical imaging systems used in real-world clinical environments. Collaborate with research teams and contribute to publications, patents, and dissemination of new technologies.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Machine Learning Software Engineer – Medical Imaging
Department: Product Engineering
Visa Sponsorship: H-1B sponsorship available
About Our Client
Our client is a global leader in applying deep learning to medical imaging, enabling faster, safer, and smarter imaging workflows. Their FDA-cleared and CE-marked AI software products are used in over 900 hospitals and imaging centers worldwide.
They are committed to building responsible AI solutions that meaningfully improve radiology workflows and patient outcomes. The team includes world-class radiologists, scientists, and engineers from institutions such as Stanford, Harvard, and MIT, with prior experience at companies like GE, Philips, and Siemens. Our client has been recognized by CB Insights as a Top 100 Global AI Company and a Top 150 Digital Health Company.
Role Overview
As a Machine Learning Software Engineer, you will join a growing AI team and work at the intersection of applied machine learning, infrastructure, and product development. You will help design, build, deploy, and maintain AI-powered medical imaging systems used in real-world clinical environments.
Key Responsibilities
- Build and maintain software systems that support AI-powered image enhancement and analysis within clinical workflows
- Develop deep learning network architectures and train models using medical imaging data
- Deploy and maintain ML systems in both cloud and on-site environments
- Build and maintain CI/CD pipelines and ML infrastructure
- Improve performance and efficiency of deep learning models for deployment on standard hospital scanners
- Collaborate closely with research teams on next-generation AI medical imaging products
- Design, document, and test software systems and models
- Monitor systems, troubleshoot issues, and maintain detailed logs
- Support Quality Management System (QMS) processes for AI/ML Software as a Medical Device (SaMD)
- Participate in data protection, audits, and compliance activities
- Contribute to publications, patents, and dissemination of new technologies
Qualifications
Required:
- Strong programming skills in Python, C, and/or C++
- Solid understanding of deep learning pipelines, preferably applied to medical imaging
- Familiarity with Quality Management Systems (QMS) and relevant standards such as ISO 13485, ISO 14971, IEC 62304, and IEC 62366
- Master’s degree in Computer Science or a related field
- 5+ years of experience in software engineering, ML Ops, or full-stack development
Nice to Have:
- 5+ years of experience working on medical imaging software