engineering Archives - Page 15 of 27

Increasing Operational Efficiency with Scalable Forecasting

Forecasting is essential for planning and operations at any business — especially those where success is heavily indexed on operational efficiency.

Improving Development Velocity with Generic, Server-Driven UI Components

In our previous article, Using Display Modules to Enable Rapid Experimentation on DoorDash’s Homepage, we discussed the concept of Display Modules, and how we built them to speed up development and implement a more flexible experimentation paradigm.

Using ML and Optimization to Solve DoorDash’s Dispatch Problem

DoorDash delivers millions of orders every day with the help of DeepRed, the system at the center of our last-mile logistics platform.

Predicting Marketing Performance from Early Attribution Indicators

DoorDash uses machine learning to determine where best to spend its advertising dollars, but a rapidly changing market combined with frequent delays in data collection hampered our optimization efforts.

6 Principles for Building a World Class TPM Team

Given the variability in the Technical Program Manager (TPM) role, it can be hard to know if a new opportunity will grow your career massively or fall short of your expectations.

From Monolith to Microservices: Reducing the Migration’s Pain Points

In our previous article of this series we covered the decision we made at DoorDash to move to a microservice architecture, the technologies we chose, and how we approached the transition.