Machine Learning Engineer

🕒 August 28

🇨🇦 Canada – Remote

💵 $110k - $130k / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Clarius Mobile Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

🏥 Healthcare

🧬 Biotechnology

💰 $6.3M Venture Round on 2018-05

Manufacturing • Healthcare • Biotechnology

Clarius Mobile Health is on a mission to make accurate, easy-to-use, and affordable ultrasound tools available to all medical professionals. The company specializes in handheld wireless ultrasound scanners that connect to iOS and Android devices, providing high-resolution ultrasound images typically associated with larger, more expensive systems. Since introducing its first portable scanner in 2016, Clarius has enabled over half a million scans performed by 20,000 users across more than 50 countries, with its latest product, the Clarius HD, currently available in Canada, the United States, and Europe.

📋 Description

• Develop, train, and deploy machine learning models for research and production environments • Improve and maintain ML tools for robustness and scalability • Design, optimize, and maintain ML data pipelines for efficient processing and training • Automate ML tasks, model retraining, evaluation, and production monitoring • Collaborate with researchers and software engineers to transfer ML research into practical applications • Address and minimize ML technical debt • Optimize model performance and inference speed for production deployment • Contribute to a project expanding access to ultrasound technology and advancing next-generation innovations

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field • 3+ years of industry experience in machine learning roles • Expertise in deep learning and computer vision • Mastery in Python development with Unix/Linux • Proficiency in TensorFlow and PyTorch • 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 • Passion for making ML methods robust, scalable, and maintainable • Strong problem-solving skills for complex ML engineering challenges • Collaborative mindset in cross-functional teams • Commitment to continuous improvement and learning • Initiative to address technical challenges and drive innovation

🏖️ Benefits

• Strong possibility of role extension or conversion to a permanent position upon meeting project milestones • Modern office with sit/stand desks • Health and wellness facilities • Stocked kitchen • Outdoor amenities • On-site daycare • Enclosed parking • Free on-site gym • Close proximity to a SkyTrain station • Great Place to Work-certified employer • Equal opportunity employer • Interview accommodations available where required