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A Career at Clarius Today, 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 Great 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 Include: 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 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. Requirements Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field 3+ years of industry experience in machine learning roles Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision Mastery in Python development with Unix/Linux. You strive for clean, correct code while iterating on experiments in Python Knowledge of common ML frameworks: TensorFlow and PyTorch Experience in software engineering best practices, including version control, testing, and code quality Ability to explain and present analyses and machine learning concepts to a broad technical audience A passion for making ML methods robust, scalable, and maintainable Preferred: C++ and Javascript development experience Experience with building scalable web applications and ML tools Experience optimizing model performance and inference speed Familiarity with cloud platforms and deployment tools (Docker, Kubernetes, AWS, GCP) What You'll Bring: Strong problem-solving skills and ability to tackle complex ML engineering challenges Collaborative mindset, thriving in cross-functional teams Commitment to continuous improvement and learning Initiative to address technical challenges and drive innovation

What you’ll do

Develop, train, and deploy machine learning models for research and production environments while maintaining robust and scalable ML tools. Collaborate with cross-functional teams to optimize model performance and integrate research into practical medical imaging applications.

Requirements

Requires a Bachelor's or Master's degree in Computer Science or Machine Learning with at least 3 years of industry experience. Candidates must possess deep expertise in deep learning, computer vision, and Python development with proficiency in TensorFlow and PyTorch.

Benefits

• Sit/stand desks • Health and wellness facilities • Stocked kitchen • Outdoor amenities • On-site daycare • Enclosed parking • Free on-site gym

Listed skills

• Kubernetes · Preferred
• Docker · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• Linux · Preferred
• Google Cloud · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine learning
• Deep learning
• Computer vision
• Python
• TensorFlow
• PyTorch
• Software engineering
• Unix
• Linux
• Version control
• Model optimization
• Inference speed tuning
• Docker
• Kubernetes
• AWS
• GCP
• Scalability Design
• JavaScript (Programming Language)
• Research
• Artificial Intelligence
• Amazon Web Services
• Computer Vision
• Medical Imaging
• C++ (Programming Language)
• Decision Making
• Version Control
• Communication
• Computer Science
• Continuous Improvement Process
• Medical Ultrasonography
• Scalability
• Innovation
• Problem Solving
• Python (Programming Language)
• Machine Learning
• Reviewing Applications
• Software Engineering
• Software Quality (SQA/SQC)
• Deep Learning
• Technical Debt
• Teamwork
• Data Pipelines
• PyTorch (Machine Learning Library)
• Docker (Software)
• Machine Learning Frameworks

Job areas

• Technology
• Software
• Healthcare
• Engineering
• Data & Analytics
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists