Senior ML Infrastructure Engineer

Arlo is a company focused on rebuilding health insurance for small businesses by leveraging AI to improve efficiency and reduce costs. As a Senior ML Infrastructure Engineer, you will own the data infrastructure that supports underwriting, claims, and operational workflows, ensuring reliable and scalable data pipelines for the entire company.

Responsibilities:

• Own our data infrastructure and the core data platform pipelines that drive underwriting and claims
• Partner with data scientists and actuaries to turn business logic into production code, owning the underwriting pipeline end-to-end
• Set the standards for how we build, monitor, and operate data systems — establishing SLAs, on-call practices, and monitoring that the team relies on
• Own and improve the pipelines and API that sit at the core of Arlo's underwriting engine
• Build and maintain the ingestion pipelines that bring third-party claims data into our platform
• Design systems that handle messy, real-world claims data at scale and make it usable for downstream analytics, underwriting, and operations
• Architect and build the data infrastructure that powers operational workflows across the business - quoting portal, cost containment, member engagement - and extend it to non-underwriting teams, including sales ops, finance, and clinical