Machine Learning Engineer

Your Experience so Far:

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.