Pelica Health, a Y Combinator-backed startup, is hiring a Machine Learning Engineer to build AI systems for value-based care. The role offers $80K-$150K and focuses on unifying healthcare data—claims, EHR, pharmacy records—into a single live member record. Engineers will design data pipelines, train predictive models, and deploy solutions to improve care coordination. The company, co-founded by Google and YouTube alumni, emphasizes scalable infrastructure and close collaboration with founders.

The position requires expertise in AWS, Python, and structured data ML, including feature engineering and model deployment. Candidates must navigate trade-offs between accuracy, explainability, and operational constraints while working in a fast-paced startup. Pelica’s mission centers on using AI to address healthcare inefficiencies, such as risk adjustment and quality metrics. The team benefits from mentorship by engineers who scaled systems at Google, offering a unique blend of technical rigor and real-world impact. Key challenges include handling messy real-world data and ensuring model reliability in regulated environments.

This role matters because Pelica targets operational decision-support systems in healthcare—a growing field as payers and providers adopt value-based models. By integrating AI into workflows like pharmacy and provider networks, the company aims to reduce care gaps. The startup’s success hinges on its ability to translate complex ML into actionable insights for non-technical stakeholders. For engineers seeking high-impact work, Pelica offers ownership of core systems and rapid growth opportunities. The blend of healthcare domain expertise and advanced ML infrastructure makes this a critical role in modernizing care delivery.