About the role

About Us

Pelica Health is the operating system for value-based care. We unify claims, EHR, pharmacy, lab, and ADT data into one live record per member, then put an AI copilot next to every team that depends on it, across risk adjustment, Quality and Stars, pharmacy and Part D, provider network, and care management. Read our founder letter: Why we started Pelica Health. Pelica was founded by former engineering and AI leaders from Google and YouTube, including co-founders who built large-scale infrastructure and machine learning systems. You will work alongside people who built massive systems at scale, a chance to learn a lot and contribute meaningfully from day one. We are backed by Y Combinator. We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.

What You'll Do

• Build and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems, for example identifying high-risk or high-priority cases.
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision-making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails, balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable,...