DoorDash Engineering Blog

Learn about high impact projects that power our velocity, reliability, and innovation.

Featured Article

Backend Building an Image Upload Endpoint in a gRPC and Kotlin Stack

Learn how we automated image uploads in gRPC and Kotlin

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Abdalla Salia

13 Minute Read

Machine Learning

Solving for Unobserved Data in a Regression Model Using a Simple Data Adjustment

Learn how our team optimized prep time estimates while overcoming censored data

Read More Joe Harkman

Using Display Modules to Enable Rapid Experimentation on DoorDash’s Homepage

Learn how a flexible UI that utilized display modules enabled rapid experimentation

Read More Danial Asif

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

Read More Jessica Zhang

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

Read More Sarah Chen

Building the Caviar Web Experience Using Reusable React Components on the DoorDash Platform

After DoorDash's acquisition of Caviar, we revised our web architecture to run two experiences off one platform.

Read More Hana Um

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

Read More Sudhir Tonse

Machine Learning

Leveraging Causal Modeling to Get More Value from Flat Experiment Results

Using Heterogeneous Treatment Effects to improve personalization

Read More Mitchell Koch

Machine Learning

Retraining Machine Learning Models in the Wake of COVID-19

When the COVID-19 pandemic significantly changed how people took their meal, DoorDash had to retrain demand prediction machine learning models.

Read More Austin Cai

General Web

Things to Keep in Mind When Integrating a Map Feature to a Web App

Lessons for developing a fast, flexible, and scalable map feature on web

Read More Ying-Chun Wang

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.

Read More Arun Balasubramani

Eliminating Task Processing Outages by Replacing RabbitMQ with Apache Kafka Without Downtime

Learn how we utilized a custom Kafka solution to reduce outages and enable horizontal scalability for task processing

Read More Saba Khalilnaji

Machine Learning

Using a Human-in-the-Loop to Overcome the Cold Start Problem in Menu Item Tagging

Learn how we built a classification model quickly, cheaply, and at scale

Read More Abhi Ramachandran

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