Drive innovation in medical imaging with Clarius as a Machine Learning Engineer. Focus on developing and deploying machine learning models to enhance ultrasound technology globally.

Clarius Mobile Health is looking for a skilled Machine Learning Engineer to join its Vancouver, BC team. This hybrid role emphasizes developing and deploying machine learning models in research and production settings. You will employ software engineering best practices while collaborating with researchers and engineers to improve ultrasound accessibility.

Key Responsibilities:
• Develop, train, and deploy machine learning models efficiently
• Maintain and optimize ML tools for robust performance
• Automate ML tasks, including model evaluation and retraining




• Collaborate with software engineers and researchers on practical ML applications
• Address and reduce any ML technical debt in code

Requirements:
• Bachelor's or Master's in Computer Science or a related field
• 3+ years of experience in machine learning environments
• Expertise in deep learning and computer vision
• Proficiency in Python, TensorFlow, and PyTorch
• Robust software engineering skills and version control knowledge

Shape the future of ultrasound imaging with your expertise in machine learning at Clarius.
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📌 Machine Learning Engineer at Clarius (British Columbia)
🏢 Clarius Mobile Health
📍 British Columbia