Data Machine Learning
Uncovering Online Delivery Menu Best Practices with Machine Learning
Learn how we analyzed over 100K online delivery menus to develop menu best practices
Finn
Qiao
Data
Hot Swapping Production Tables for Safe Database Backfills
DoorDash engineering explains how to edit large data tables safely and quickly in a production database.
Justin
Lee
Data Machine Learning
Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity
To speed up the development of new features we needed a way to increase our experiment capacity. Learn how we improved it by 4X
Jessica
Zhang
Yixin
Tang
Backend Data
Integrating a Search Ranking Model into a Prediction Service
Learn how moving ML models to a prediction service can free up RAM and CPU for more scalable development
Sarah
Chen
Data Machine Learning
How DoorDash is Scaling its Data Platform to Delight Customers and Meet our Growing Demand
Learn the challenges and best practices to successfully growing a data platform organization
Sudhir
Tonse
Data Machine Learning
Supporting Rapid Product Iteration with an Experimentation Analysis Platform
DoorDash engineers built Curie, a new experimentation analysis platform, to better gauge the success of product experiments.
Arun
Balasubramani
Backend Data Machine Learning
Enabling Efficient Machine Learning Model Serving by Minimizing Network Overheads with gRPC
Learn the challenges of reducing network overheads with gRPC optimizations
ArbazKhan
Data Machine Learning
Meet Sibyl – DoorDash’s New Prediction Service – Learn about its Ideation, Implementation and Rollout
Learn how building a prediction service enables the utilization of ML models based on real-time data
Cody
Zeng