Machine Learning Application Engineer

Description Who We Are: CirrusMD is a different kind of virtual care company. In less than a minute, patients reach a live, licensed physician and conduct a care encounter at their pace and convenience. Available 24/7/365, CirrusMD’s integrated care is delivered via multispecialty, board-certified doctors who can treat a broad range of conditions, from acute to chronic, primary care to specialty areas, including behavioral health. CirrusMD is available to 10 million users across all 50 states and exclusively offered through employers and health plans. Learn how CirrusMD is transforming virtual care: https://www.cirrusmd.com Who We’re Looking For: CirrusMD is seeking a Python Developer to contribute to our mission of redefining the healthcare experience for patients and providers. You’ll be responsible for delivering best-in-class data solutions, contributing to the advancement of scaling Data Services, and enabling Machine Learning experiences. You will have the opportunity to work with technology including Snowflake, FastAPI, Airflow, TensorFlow, PyTorch, PostgreSQL, SQL, AWS, Docker, Kubernetes and more. This position can sit remotely anywhere in the U.S., with the flexibility to work from our Denver HQ as you’d like. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time. Additionally, know that your application will be reviewed. However, we will only be able to contact and follow up with those candidates whose application we can explore at this time. What You’ll Accomplish: Manage and extend our ML delivery APIs Maintain the integrity of our data annotation pipeline Contribute to new ML model development Collaborate with platform engineers to build services and APIs for internal and external stakeholders. Support teammates and stakeholders through technical challenges with a high degree of competency and accountability Maintain your reputation for reliably delivering well-considered, well-tested, and performant code artifacts Contribute to our evolving engineering and testing standards and best practices