Machine Learning Engineer

About

The Department of Cardiac Sciences in the Cumming School of Medicine invites applications for a Machine Learning Engineer. This Fixed Term Recurring Part-time position is for approximately 6 months (based on length of grant funding), with the possibility of extension.

This position reports to the Principal Investigator.

The Data Intelligence for Health (DIH) Lab (https://cumming.ucalgary.ca/dih) is a research lab in the Cumming School of Medicine and conducts digital health research by applying data science, machine learning, and artificial intelligence to various problems in health.

The Machine Learning Engineer will contribute to the development, validation, deployment, maintenance, and documentation of various machine learning models as part of the research and development projects conducted at DIH. The Machine Learning Intern's responsibilities also include health data set curation and management for the purpose of machine learning. The data sets used at DIH are typically multi-modal and can include tabular, imaging, text, or time series data.

Summary of Key Responsibilities

• Develop, validate, deploy, and maintain production-level machine learning models
• Engage with other researchers, stakeholders, and end-users to understand and incorporate their needs
• Organize, curate, and maintain related data sets
• Meticulously document and version control machine learning source code and models
• Assist with publications and presentations of research findings
• Establish and maintain effective, productive relationships with the rest of the project team, DIH members, immediate supervisor, senior management, and with the campus community
• Manage own time effectively and ensure immediate reports to manager is kept informed of activities and progress of work
• Demonstrate strong communication and teamwork skills, and an ability to exercise judgment within established guidelines

Qualifications / Requirements

• Bachelor's degree in computer science, engineering, or a relevant field
• One to two years of work experience in machine learning
• Advanced proficiency with Python, PyTorch, TensorFlow, Keras, scikit-learn, SQL, Docker, GitHub
• Strong understanding of deep learning concepts, best practices, and MLOps is essential
• Experience with various deep learning foundation models is essential
• Experience with AWS SageMaker is an asset
• Experience with high-performance computing is an asset
• Ability to utilize vibe coding to maximize productivity is a plus
• Understanding of Agile software development and the scrum framework
• Understanding of application and data security
• Demonstrated creativity and problem-solving skills
• Ability to work independently with limited supervision
• Strong organizational and project management skills with attention to detail
• Well-developed written/spoken communication and teamwork skills
• Health research and development experience in an academic environment is a plus

Additional Information

Application Deadline: April 23, 2026

This position is part of the AUPE bargaining unit, and falls under the Technical Job Family, Phase 1.

About the University of Calgary

UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups. Start something today at the University of Calgary. For more information, visit ucalgary.ca.

The University of Calgary has launched an institution-wide Indigenous Strategy ii' taa'poh'to'p committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.

The university's commitment to the Indigenous Strategy is evident through the oversight of 18 Elders serving on the Circle of Advisors and the many unit-based circles working towards implementation of the strategy including the Faculty Advisory Circle and teams such as the Office of Indigenous Engagement, the Writing Symbols Lodge, and the Indigenous Research Support Team. Many Indigenous-based events and processes are impacting curriculum, programming and polices at the University of Calgary.

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We encourage all qualified applicants to apply, however preference will be given to Canadian citizens and permanent residents of Canada.