Senior Machine Learning Engineer

Sourced from emploive.com

Possible Finance, a venture-backed consumer fintech and Public Benefit Corporation, is hiring its first dedicated ML infrastructure owner. In this green-field role you'll design and roll out a shared feature store, stand up drift monitoring to catch model degradation before it affects customers, and consolidate fragmented deployment tooling into one reliable pipeline. Starting as a team of one, you'll set the processes and standards for how Possible builds, deploys, and monitors the credit risk and fraud models behind its lending products. This is a hybrid role based in downtown Seattle, three days per week in office.

• Design and roll out a shared feature store, enabling safe experimentation without touching production and faster real-time model responses
• Stand up drift monitoring to catch model degradation before it becomes a customer-facing problem
• Consolidate a patchwork of deployment tooling into one clean, reliable model-serving pipeline
• Define the processes and standards for Possible's ML function as its first dedicated infrastructure owner
• Bring visibility to currently opaque parts of the ML system and apply scientific rigor to infrastructure decisions
• Partner cross-functionally with data scientists and engineers to drive adoption of new tooling

• Deep, hands-on experience building and operating ML infrastructure (feature stores, model serving, monitoring systems) in production