Circle Cardiovascular Imaging

www.circlecvi.com

1 Job

129 Employees

About the Company

Circle Cardiovascular Imaging Inc. is a prominent global cardiac imaging company providing AI-based multi-modality reading and reporting software solutions for Cardiac MR, Cardiac CT, Cardiac Interventional Planning and Electrophysiology. Annually, millions of cardiac exams in over 90 countries are interpreted using Circle CVI's imaging platform, cvi42, giving physicians the tools to accurately quantify and diagnose complex cardiovascular diseases while improving patient outcomes and the effective utilization of healthcare resources.

Listed Jobs

Company Name: Circle Cardiovascular Imaging
Job Title: Machine Learning Software Developer (2025-044)
Job Description: **Job Title:** Machine Learning Software Developer **Role Summary:** Design, develop, and deploy high‑performance deep learning models for 3‑D medical image segmentation, geometric analysis, and physiological prediction within cardiovascular MRI/CT diagnostic tools. Serve as the AI core architect, ensuring seamless integration of ML components into the broader software platform. **Expectations:** - Minimum 3 years professional experience building and deploying ML models for biomedical imaging. - Ability to own end‑to‑end ML pipelines from data ingestion to production deployment. - Proficiency in Python (and/or C++) with strong software engineering practices. - Collaborative mindset to work with engineers, scientists, and product leaders. - Commitment to staying current with medical imaging AI research and standards. **Key Responsibilities:** - Architect, implement, and optimize deep learning models for 3‑D medical imaging tasks. - Write clean, tested, and well‑documented Python code; mentor junior engineers on best practices. - Serve as subject‑matter expert on biomedical data, guiding model selection, feature engineering, and validation. - Integrate ML models into the existing software ecosystem, coordinating with software architects and product teams. - Manage ML workflows on cloud platforms and apply MLOps tools (Docker, Kubernetes, CI/CD, MLflow). - Participate in scientific community (e.g., MICCAI) to incorporate state‑of‑the‑art techniques. **Required Skills:** - Deep knowledge of medical imaging standards (DICOM) and related libraries. - Proficiency in Python; experience with C++ is a plus. - Hands‑on experience with PyTorch or TensorFlow. - Strong software engineering fundamentals: Git, unit testing, code reviews, modular design. - Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines. **Required Education & Certifications:** - Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field. - No specific certifications required, but demonstrated expertise in ML for medical imaging is essential.