Machine Learning Engineer, Clarius Mobile Health

• 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
• 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

Desirable

• 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
• 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
• Contract Duration: Two-year fixed-term through October 2028, with strong likelihood of extension upon meeting project deliverables
• 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