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Machine Learning Software Developer
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Circle Cardiovascular Imaging

Machine Learning Software Developer

Calgary, AB, T2P 1H5, Canada

Job type: Full-time
Experience: 3+ years of post-academic, professional experience building deploying machine learning models specifically for biomedical or medical imaging applications.
Posting language: English
Posted: Sep 14, 2026

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Original 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. 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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More about this job

Responsibilities

You will architect, build, and deploy high-performance deep learning models for complex medical imaging tasks such as 3D segmentation and physiological prediction. Additionally, you will mentor junior engineers and collaborate with cross-functional teams to integrate AI solutions into the company's software ecosystem.

Requirements

Candidates must have 3+ years of professional experience building machine learning models for biomedical or medical imaging applications. A PhD or Master's degree in Computer Science, Artificial Intelligence, or Data Science is required.

Skills

Machine learning
Deep learning
Python
C++
Medical imaging
DICOM
PyTorch
TensorFlow
3D segmentation
Geometric analysis
Physiological prediction
Software engineering
Git
MLOps
Docker
Kubernetes

Benefits

Competitive compensation
Vacation
Transportation allowance
Flexible working arrangements
Employee Wellness Program
Professional development
Tuition reimbursement program
Internal recognition programs
Annual salary review

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Developer
Cardiovascular Imaging
MRI
CT
Deep Learning
Medical Imaging
DICOM
Python
C++
PyTorch
TensorFlow
3D Segmentation
Geometric Analysis
Physiological Prediction
Software Engineering
Git
AWS
GCP
Azure
MLOps
Docker
Kubernetes
CI/CD
MICCAI
Biomedical Data
Feature Engineering
Validation Strategies
AI Development
Healthcare Technology

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