Machine Learning Software Developer

circlecardiovascularimaging; Calgary; On-site; CAD 95,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Vacation

Transportation allowance

Flexible working arrangements

Wellness program

Tuition reimbursement

Internal recognition/kudos programs

Annual salary review

Inclusive culture

Job summary

Circle Cardiovascular Imaging in Calgary is seeking a Machine Learning Engineer to own core ML components for CT and MR imaging projects. You will design, develop, and deploy robust models powering our diagnostic tools in a production-ready framework.

You will write Python, work with DICOM data, collaborate with engineers and researchers, and stay current with biomedical imaging advances. This is an onsite role with a strong culture of innovation and professional development.

Qualifications

• 3+ years building ML models for biomedical imaging.
• Familiar with DICOM and imaging libraries.
• Proficient in Python and C++, with PyTorch or TensorFlow.
• Experience in end-to-end ML systems from data to deployment.
• Strong software engineering practices (Git, tests).

Responsibilities

• Architect and deploy high-performance deep learning models for 3D medical imaging.
• Collaborate with engineers and scientists to integrate ML into software.
• Stay current with MICCAI and biomedical imaging advances.
• Lead ML workflows across cloud platforms.

Skills

Python

C++

End-to-end ML

Medical imaging

Git

Testing

Model deployment

Education

PhD in Computer Science, AI, DS or Masters

Tools

PyTorch

TensorFlow

DICOM

Job description

Overview:

Circle Cardiovascular Imaging (Circle) designs, builds, and implements the best-in-class cardiovascular Magnetic Resonance Imaging solutions. At the heart of everything we do is our unrelenting drive to continually offer better solutions for healthcare providers that improve healthcare outcomes. This fuels our creativity, informs our decisions and it is the reason we are passionate about our work and most importantly why we are successful. We are careful stewards of resources focused on optimizing both customer and investor value. We strive to make Circle a place where employees are highly valued, engaged, and have opportunities for professional development. Our roots are medical and digital, our passion is contagious, and our people are amongst the best.
Circle's vision is to Transform Cardiovascular Care through Intelligent Solutions. Circle is a well-known, established leader in the cardiovascular imaging industry, with our 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 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.
• 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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