A Career at ClariusToday, as many as 25 million medical professionals globally don’t have access to medical imaging, which is proven to improve patient care and reduce healthcare costs.

That’s why we’re on a mission to make medical imaging accessible everywhere by delivering high-performance, affordable, and easy-to-use solutions powered by artificial intelligence and connected to the cloud.

By making Clarius your next career move, you’re joining a team of 150+ people who are talented, innovative, and highly collaborative.

You’re also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care!

And you’re joining a thrice-certified Excellent Place to Work!

Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation innovations. Over the next 24 months, you'll focus on the development, training, and deployment of machine learning models in both research and production settings. This role requires strong software engineering practices and the ability to find creative solutions that continually improve the performance and safety of ML in production.

If we meet our project milestones, there's a strong possibility of this role being extended or turning into a permanent position

Your Responsibilities Develop, train, and deploy machine learning models for both research and production environments

Improve and maintain ML tools, ensuring robustness and scalability

Design, optimize, and maintain ML data pipelines for efficient processing and training

Automate ML tasks,



model retraining, evaluation, and monitoring in production

Collaborate with researchers and software engineers to transfer ML research into practical applications

Address and minimize ML technical debt, ensuring maintainable and efficient code

Optimize model performance and inference speed for production deployment

Your Experience Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field

3+ years of industry experience in machine learning roles

Deep expertise in deep learning and computer vision

Mastery in Python development with Unix/Linux

Proficiency in TensorFlow and PyTorch

Software engineering best practices (version control, testing, code quality)

Ability to communicate ML concepts to technical audiences

Preferred: C++ and Javascript development

Building scalable web applications and ML tools

Model optimization and inference speed tuning

Cloud platforms and deployment (Docker, Kubernetes, AWS, GCP) Location: Vancouver, BC (hybrid preferred; remote candidates will be considered)

Contract Duration: Two-year fixed-term through October 2028, with strong likelihood of extension upon meeting project deliverables

Salary Range: $110,000 - $130,000 CAD





More Reasons to Consider Be Part of a High-Impact Project - You’ll play a key role in creating a more affordable ultrasound solution, making medical imaging more accessible worldwide.

Work for a Three-Time Certified Great Place to Work - Clarius has been recognized three times as a great place to work, and you’ll be joining a company that values innovation, teamwork, and employee well-being.

Workspace: Our modern office features sit/stand desks, various health & wellness facilities, a stocked kitchen, outdoor amenities, on-site daycare, enclosed parking, a free on-site gym and close proximity to a SkyTrain station.

Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity, religion, age, national origin, disability status, sexual orientation, gender identity or expression. Please let us know if you require any accommodations during the interview process.

Use of Artificial Intelligence in the Recruitment Process As part of our recruitment and assessment process, we may use artificial intelligence tools to support certain activities. This may include, but is not limited to, reviewing applications, supporting candidate assessments, and conducting or facilitating one way video interviews. Where AI tools are used, they are intended to support our recruitment process and do not replace human decision making.

Candidates may be informed where AI is used as part of an assessment and will have the opportunity to engage with the recruitment process in accordance with applicable laws and our recruitment practices.

📌 Machine Learning Engineer (Vancouver)
🏢 Clarius Mobile Health
📍 Vancouver