The little engine that could: Linchpin DSL for Pinterest ranking

Our engineers are tasked with showing the right idea to the right user at the right time across home feed, search, Related Pins and more. Engineers use shared Pin features and user attributes to make more than 10B recommendations every day. Because multiple teams use the same data pipelines and frameworks, it's important that models can be used consistently in both a development environment and in production. Before, teams created separate processes for developing machine learning (ML) models. As these models became more complex, and teams increasingly had similar needs for a model development workflow, we needed a common language to express, evaluate and deploy models across multiple teams.