Using Heterogeneous Treatment Effects to improve personalization
When the COVID-19 pandemic significantly changed how people took their meal, DoorDash had to retrain demand prediction machine learning models.
Lessons for developing a fast, flexible, and scalable map feature on web
Learn how the DoorDash merchant team has scaled up to support merchants during the Covid-19 crisis
Learn more about the product design team at DoorDash
Learn more about what it means to be a product designer at DoorDash
Learn how we utilized a custom Kafka solution to reduce outages and enable horizontal scalability for task processing
Reengineering our event-driven delivery service for DoorDash Drive into Kotlin, we added the open source Cadence as a fallback for retries.
Ensure your growing team can search, analyze, and visualize data securely by integrating Splunk with a custom built Terraform provider.