Platform Machine Learning Engineer, CirrusMD

• 5 or more years of professional experience working with Python API development
• Production-level experience with Python API frameworks (e.g. FastAPI)
• Experience with a deep learning framework (e.g. TensorFlow, Torch, SageMaker)
• Functional Database knowledge, specifically with PostgreSQL and Snowflake
• Adept Python coding/scripting experience
• Experience designing and managing complex relational database structures
• Experience with relevant AWS services such as RDS, S3, Lambda, SNS or SQS
• Confidence pairing with other engineers of all levels
• Strong analytical skills and the ability to combine and integrate data from different sources with accuracy
• Strong aptitude for learning new technologies related to ML, AI, and Data Science
• Experience with/ containerization (e.g. Docker)
• Experience w/ CI / CD tools and/or Github Actions
• Backend experience designing REST & gRPC APIs
• B.S or M.S in Computer Science, Mathematics, Statistics or equivalent work experience

Desirable

• 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
• 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

• 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
• 30-minute initial conversation with the Data Manager
• Take-home assessment. We ask that you limit yourself to only spend 1-2 hours on this assignment and return it within 1 week
• Technical and Team interview. Here, we will review your take-home assessment and give you a chance to meet members of the team
• Cross-team interview. Here, you will meet with 2 team leads from other teams with which this role works closely
• Assessment and interview with a professional development coach to ensure organizational alignment with your career goals
• Offer