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Machine learning (ML) is deeply integrated into Stripe's operations, enhancing various processes and contributing significantly to the global internet economy. One of the main challenges at Stripe is feature engineering, the iterative process of defining inputs for ML models, which is complicated by the vast amount of raw data. To address this, Stripe partnered with Airbnb to adapt its Chronon platform, creating Shepherd, a next-generation ML feature engineering platform that meets the company's strict requirements for latency and feature freshness. This platform has been instrumental in developing a new fraud detection model with over 200 features, which has significantly reduced fraud losses. As Stripe continues to refine Shepherd, it is contributing enhancements to Chronon, supporting its open-source community, and integrating the platform with Stripe's data systems to handle large-scale offline and streaming data requirements. The collaboration with Airbnb and the development of Shepherd exemplify Stripe's commitment to advancing ML infrastructure and open-source contributions.

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