Position Overview:
This is a critical role for a Machine Learning Engineer who will be a key part of our 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 our next-generation cardiovascular diagnostic tools. Your primary focus will be on architecting the AI core for the CT and MR based projects across our portfolio. You are a passionate developer who translates complex scientific challenges into production-ready AI solutions.
General 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. Mentor junior engineers on best practices for both software engineering and the unique challenges of machine learning with medical data.
- Serve as a subject matter expert, leveraging your 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 our broader software ecosystem.
Required Skills/Experience:
- 3+ years of post-academic, professional experience building 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++, 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.
Preferred Skills/Experience:
- 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).
Educational Requirements:
- PhD in Computer Science, Artificial Intelligence, Data Science, or Masters or equivalent.
About the 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
Upon joining Circle CVI, you will be welcomed into a collaborative and supportive company with uncompromising values on quality, innovation, culture, and customer service. Join us in changing the medical technology world and submit your application below!
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