Staff AI/ML Engineer, MyHealthTeam

About this role

Join Us To Redefine The Patient Experience
MyHealthTeam builds communities for people living with chronic and rare conditions. We reach millions of people each month, and we’re investing deeply in AI to help members find the right support, content, and recommendations — safely, responsibly, and at scale.


We’re looking for a Staff AI/ML Engineer who is product-minded, hands-on, and excited to ship production ML/LLM systems that turn messy, real-world text and behavioral data into reliable experiences for patients.


What You Get To Do Every Day

• Build end-to-end ML/LLM features from problem definition → data → modeling → evaluation → deployment → monitoring.
• Develop LLM applications with retrieval and tool use (e.g., RAG, orchestration/workflows, structured extraction) to deliver trustworthy consumer health experiences.
• Convert unstructured text (posts, comments, messages, search queries) into structured signals (topics, entities, intent, sentiment, safety flags) using a mix of classical NLP and modern LLMs.
• Create and maintain data pipelines for training, inference, evaluation, and analytics (batch and/or streaming as needed).
• Design evaluation systems that measure quality and safety: offline metrics, golden datasets, human review workflows, and online A/B testing alignment.
• Implement production guardrails to reduce harm and misinformation risk (policy constraints, refusal behavior, citations/attribution when appropriate, red-teaming, monitoring, and incident response).
• Set up monitoring for model + system health (latency, cost, drift, regressions, quality metrics).
• Partner closely with the Product, Engineering, and Data teams and clinical/subject-matter experts to validate outputs and define what “correct” means for sensitive, health-adjacent use cases.
• (Staff scope) Lead architecture and technical direction for applied AI across the organization; mentor engineers; establish best practices and reusable platforms.

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