Evergreen Telehealth is seeking a Machine Learning Engineer to own the intelligence layer powering our clinically meaningful agents. You will design, train, validate, and monitor ML models that power the Markov state transition logic, clinical decision support, patient risk stratification, adherence prediction, and dosage optimization. This is an applied ML engineering role at the intersection of clinical domain knowledge and machine learning, with models that must be explainable to providers, safe for patients, and auditable by regulators. As the architecture matures, this role expands into predictive analytics and evaluation frameworks to ensure safety thresholds are met. This is not a research role; it requires delivering production-ready models with defensible predictions and well-considered failure modes. This is a remote role based in the United States.

Evergreen Telehealth is seeking a Machine Learning Engineer to own the intelligence layer powering our clinically meaningful agents. You will design, train, validate, and monitor ML models that power the Markov state transition logic, clinical decision support, patient risk stratification, adherence prediction, and dosage optimization. This is an applied ML engineering role at the intersection of clinical domain knowledge and machine learning, with models that must be explainable to providers, safe for patients, and auditable by regulators. As the architecture matures, this role expands into predictive analytics and evaluation frameworks to ensure safety thresholds are met. This is not a research role; it requires delivering production-ready models with defensible predictions and well-considered failure modes. This is a remote role based in the United States.