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 cooperative. 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

📌 Machine Learning Engineer (Toronto)
🏢 Socket.dev
📍 Toronto