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Circadia Health is a growth-stage healthcare AI company focused on preventing avoidable hospitalizations and transforming senior-care operations. The company has developed the Circadia Intelligence Platform, which combines contactless sensing technology that monitors respiration and motion with medical-grade accuracy, native predictive models that detect 85% of preventable adverse events several days in advance, and enterprise integrations that operationalize predictions directly within EHR, care-coordination, billing, and compliance workflows.
The platform currently touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. The company is backed by leading healthcare and AI investors and is headquartered in El Segundo, CA.
As a Senior Machine Learning Engineer, you will play a critical role in developing and improving the predictive models that power the Circadia Intelligence Platform. You will work on challenging problems in healthcare AI, including time-series analysis, anomaly detection, and clinical outcome prediction. Your work will directly impact patient safety and operational efficiency across senior-care facilities.
You will collaborate with a team of experienced ML engineers, data scientists, clinical advisors, and product managers to design, implement, and deploy machine learning solutions at scale. You will be responsible for developing robust, interpretable models that meet the stringent requirements of healthcare applications, including regulatory compliance, clinical validation, and integration with existing healthcare systems.
This is an opportunity to work on meaningful healthcare problems with real-world impact, leveraging cutting-edge AI and sensing technologies in a rapidly growing company.
