Machine Learning Software Developer

Circle Cardiovascular Imaging (Circle) designs, builds, and implements best-in-class cardiovascular Magnetic Resonance Imaging solutions. Circle's vision is to Transform Cardiovascular Care through Intelligent Solutions, with best-in-class MR and CT imaging solutions utilized by top healthcare institutions worldwide. Position Overview: This is a critical role for a Machine Learning Engineer who will be a key part of the AI development team. You will take ownership of key components of machine learning systems, driving the design, development, and deployment of robust, scalable models that power next-generation cardiovascular diagnostic tools. Your primary focus will be on architecting the AI core for the CT and MR based projects across the portfolio. You are a passionate developer who translates complex scientific challenges into production-ready AI solutions.

Responsibilities

Architect, build, and deploy high-performance deep learning models for complex tasks, including 3D medical image segmentation, geometric analysis, and physiological prediction; Write clean, highly-optimized, and thoroughly-tested code in Python; Serve as a subject matter expert, leveraging understanding of biomedical data to guide model selection, feature engineering, and validation strategies; Stay at the forefront of the medical imaging AI community (e.g., MICCAI) to introduce cutting-edge techniques; Partner with senior engineers, scientists, product leaders, and software architects to define technical requirements and ensure seamless integration of ML models into the broader software ecosystem; Take ownership of key components of machine learning systems, driving the design, development, and deployment of robust, scalable models that power next-generation cardiovascular diagnostic tools; Architect the AI core for the CT and MR based projects across the portfolio

Requirements

3+ years of post-academic, professional experience building and deploying machine learning models specifically for biomedical or medical imaging applications; Deep familiarity with medical imaging standards (DICOM) and specialized libraries; Programming proficiency in Python and/or C++, with hands-on experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow); Proven ability to architect and own end-to-end ML systems, from data ingestion to model deployment; Strong foundation in software engineering principles, including version control (Git), testing, and writing clean, maintainable code; PhD in Computer Science, Artificial Intelligence, Data Science, or Masters or equivalent

Nice to have

Demonstrated experience designing and managing ML workflows on a major cloud platform (AWS, GCP, or Azure); Extensive experience with MLOps tools and methodologies (e.g., Docker, Kubernetes, MLflow, CI/CD for ML)

Benefits

Competitive compensation and vacation; Transportation allowance; 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