To deliver a virtual assistant that improves week over week—not just at launch—we’re hiring an AI Engineer to build the technical backbone of our evaluation and reporting system. This role will operationalize evaluation at scale: implementing MLflow (or equivalent) tracking, automating experiment runs, standardizing metrics, and turning evaluation data into executive-ready insights that drive decisions. You’ll sit at the intersection of engineering, data, and product—ensuring every model/agent change is measurable, traceable, and aligned to member experience outcomes. To do that, you’ll need: Strong Python engineering skills and experience building robust pipelines (batch + CI/CD) Experience implementing MLflow and/or experiment tracking, model registry, and artifact/version control Ability to synthesize data into readable reports If you’re inspired by our mission – peace of mind through better health – and energized by this work, we’d love to hear from you. Note: This is a fully remote role, but onsite interviews at our Chattanooga, TN headquarters may be required. Sponsorship is not available for this role.
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Job Type
Full-time
Career Level
Mid Level