About Circle Cardiovascular Imaging
Circle Cardiovascular Imaging designs, builds, and implements cardiovascular magnetic resonance imaging solutions.
Position Overview
We are seeking a Senior Machine Learning Software Developer to play a key role in the design, development, and delivery of advanced AI systems for cardiovascular imaging applications. This role is suited for an experienced, self-directed developer with deep expertise in medical image processing, machine learning, and production software development.
Senior Machine Learning Software Developer will report to the Director, Artificial Intelligence Development.
General Responsibilities
- Design, implement, and deploy high-performance deep learning models for complex biomedical imaging tasks, including 3D medical image segmentation, geometric analysis, registration, and related applications.
- Take ownership of large ML software components or scientific modules, including architecture, implementation, optimization, validation, and integration into production workflows.
- Develop clean, efficient, well-tested code in Python and/or C++, with a strong focus on maintainability, scalability, and software engineering best practices.
- Work independently on challenging technical problems, evaluate trade‑offs, and make recommendations that influence project direction, system design, and implementation strategy.
- Contribute to high-impact research and development efforts, including work that may lead to publications in peer-reviewed conferences such as MICCAI, ICLR, CVPR or similar venues.
- Mentor junior developers and researchers on software development practices, ML engineering workflows, medical imaging challenges, and model validation standards.
- Stay current with advances in medical imaging AI, deep learning, and scientific software development, and introduce relevant methods into the team’s technical roadmap.
Required Skills/Experience
- 4+ years of post‑academic professional experience designing, building, and deploying machine learning systems for biomedical, medical imaging, or related scientific applications.
- Strong experience with medical imaging data, standards, and workflows, including DICOM and relevant medical imaging libraries or toolkits.
- Proven ability to architect, implement, and own end-to-end ML systems, from data ingestion and preprocessing through training, validation, deployment, and monitoring.
- Advanced programming skills in Python and/or C++, with hands‑on experience using at least one major deep learning framework such as PyTorch or TensorFlow.
- Strong understanding of deep learning methods for medical imaging, including segmentation, classification, registration, reconstruction and geometric modeling.
- Demonstrated ability to work independently on complex technical assignments with minimal supervision.
- Strong software engineering foundation, including Git-based version control, automated testing, code review, documentation, debugging, and clean code practices.
- Ability to evaluate the downstream impact of design and implementation choices on other projects, systems, and product teams.
- Clear communication skills, with the ability to explain technical decisions, trade‑offs, and risks to both technical and cross‑functional stakeholders.
Preferred Skills/Experience
- Experience with scalable ML infrastructure, model serving, experiment tracking, data pipelines, containerization, or MLOps practices.
Educational Requirements
- MSc or PhD in Engineering, Applied Mathematics or Computer Science.
Benefits
- Competitive compensation and vacation
- Flexible working arrangements
- Employee Wellness Program
- Professional development and tuition reimbursement program
- Gratifying internal recognition/kudos programs
- Annual salary review – based on company and individual performance
- Fun, inclusive, ego‑free environment where diversity and individual thoughts are encouraged and valued
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