Platform Machine Learning Engineer
CirrusMD
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 over 11 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 Machine Learning Engineer 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 leveraging a large dataset, 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. 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:
- Expand and enhance our existing predictive classification models
- Manage and extend our ML delivery APIs
- Maintain the integrity of our data annotation pipeline
- Contribute to new ML model development
- Collaborate with Clinical, Product, and Platform Engineers to build new and expand existing ML services
- 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
- Be a primary contributor with the ongoing development of the company’s AI/ML roadmap