Own and improve Arlo’s healthcare underwriting model using large-scale claims data. Develop evaluation frameworks, engineer predictive features, test machine learning architectures, and validate model improvements through backtesting focused on medical loss ratio and pricing competitiveness. Monitor predictions and policy outcomes, identify bias and risk-estimation gaps, and partner with actuaries and ML engineers to deploy reliable models at scale.

The Senior ML Infrastructure Engineer will own data infrastructure, maintaining pipelines for underwriting and claims, and partner with data scientists to implement business logic into production code.