Where technology empowers local economies

DoorDash provides an engaging internship program where software engineering interns are deeply integrated into our Engineering teams, allowing them to gain practical, real-world experience that complements their academic learning.

In the fast-paced world of food delivery, accurate estimated time of arrival, or ETA, predictions are not just a convenience; they're a critical component of operational efficiency and customer satisfaction.

The independent contractors who do deliveries through DoorDash — “Dashers” — pick up orders from merchants and deliver them to customers.

We’ve traditionally relied on A/B testing at DoorDash to guide our decisions.

DoorDash is supporting an increasingly diverse array of infrastructure use cases as the company matures.

As part of our ongoing efforts to enhance product development while safeguarding app health and the consumer experience, we are introducing metric-aware rollouts for experiments.

DoorDash has redefined the way users explore local cuisine.

I'm thrilled to introduce our brand-new DoorDash office in São Paulo, Brazil.

When it comes to reducing variance in experiments, the spotlight often falls on sophisticated methods like CUPED (Controlled Experiments Using Pre-Experiment Data).

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store.

Real-time event processing is a critical component of a distributed system's scalability.

The DoorDash ETA team is committed to providing an accurate and reliable estimated time of arrival (ETA) as a cornerstone DoorDash consumer experience.