Learn about the principles and big bets that enabled to scale and maintain our ML platform which supports our data users and data scientists
Ensuring ID's don't get exceeded is an evolving challenge. Learn how DoorDash made our tables were compatible with our new Bigint upgrade
Learn how our Fabricator infrastructure integrations for ML features were automated and continuously deployed to generate 500 unique features and 100+ billion daily feature values
Learn how DoorDash managed to make its data orchestration more scalable and reliable with Kubernentes and Airflow
In a data driven world a company's experiment capacity directly impacts its development velocity. Learn what DoorDash did to boost testing 1000%
DoorDash describes how it built a faster search index using open source projects.
To meet additional SLA's of DoorDash's rapidly growing team without increasing compute we had to rely on a variety of ETL optimizations.
Machine learning model drift occurs as data changes, but a robust monitoring system helps maintain integrity.
In a business with fluid dynamics between customers, drivers, and merchants, real-time data helps make crucial decisions which grow our business and delights our customers. Machine learning (ML) models play a big role in improving the experience on our platform, but models can only be as powerful as their underlying features. As a result, building ...
Analytics teams focused on detecting meaningful business insights may overlook the need to effectively communicate those insights to their cross-functional partners who can use those recommendations to improve the business. Part of the DoorDash Analytics team’s success comes from its ability to communicate actionable insights to key stakeholders, not just identify and measure them. Many ...
Running experiments on marketing channels involves many challenges, yet at DoorDash, we found a number of ways to optimize our marketing with rigorous testing on our digital ad platforms. While data scientists frequently run experiments, such as A/B tests, on new features, the methodology and results may not seem so clear when applied to digital ...
DoorDash extended its machine learning platform to support ensemble models.
Susbscribe to the DoorDash engineering blog