Join Clarius as a Machine Learning Engineer to revolutionize medical imaging access. This role involves the development and deployment of cutting-edge machine learning technology.

Located in Vancouver, BC, this hybrid prospect focuses on advancing ultrasound technology's accessibility. As part of a energetic team, you will be critical in designing and maintaining machine learning data pipelines while ensuring model efficiency in production settings.

Collaboration with peers will enhance practical applications for medical professionals worldwide.

Key Responsibilities:
Design and maintain ML data pipelines for optimal processing
Deploy models for research and production environments
Improve existing ML tools for scalability and robustness




Automate processes for model retraining and monitoring
Collaborate across teams to translate ML research into applications

Requirements:
Master’s or Bachelor’s degree in related fields
3+ years experience in machine learning
Robust background in deep learning and computer vision
Expert in Python and experience with Tensor Flow and PyTorch
Familiarity with cloud platforms and deployment tools preferred

Contribute your machine learning skills at Clarius, enhancing healthcare worldwide.
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📌 Clarius Machine Learning Engineer Position Vancouver (Canada)
🏢 Clarius Mobile Health
📍 Canada