ML Feature Development Platform

This feature thread tracks Stripe's development of systems and platforms to scale Machine Learning (ML) feature development. The initial post introduced Shepherd, a system that adapted Chronon to address the challenges of scaling ML feature development at Stripe. It details how Shepherd enables efficient creation, management, and deployment of ML features, focusing on technical aspects like data pipelines, feature stores, and model training infrastructure. This capability aims to accelerate the ML development lifecycle. This post details how Stripe adapted Chronon to build Shepherd, focusing on the specific technical challenges and solutions for scaling ML feature development, including data lineage, feature definition, and integration with existing infrastructure.