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Machine Learning Engineer
Vancouver HQ
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 collaborative. 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 RoleClarius Mobile Health is looking for a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while continuing to advance our next-generation innovations.
Over the next 12 months, the Machine Learning Engineer will focus on the development, training, and deployment of machine learning models in both research and production settings. This role requires experience in model building, deployment, and software engineering best practices to ensure scalable and efficient ML systems. This candidate will excel in finding creative solutions to continually improve the performance and safety of ML in production. It is ideal for someone with industry experience who is eager to build robust, high-performing models and contribute to cutting-edge advancements in machine learning applications.
If we meet our project milestones, there’s a strong possibility of this role being extended or turning into a permanent position.
Your Responsibilities IncludeDue to the hands-on nature of this collaborative role, a hybrid arrangement is preferred. As a result, we can only consider candidates who are within a commutable distance of our Vancouver, BC office.
This is a one-year fixed-term contract with a strong likelihood of extension upon meeting project deliverables. The salary range for this role is $110,000 - $130,000.
More Reasons To Consider* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.