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

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AI & ML Data Machine Learning

Transforming MLOps at DoorDash with Machine Learning Workbench

DoorDash builds an internal ML Workbench by taking a user-centered approach to solve for productivity and velocity of our Data, ML, AI teams.

Archit Jha Nachiket Paranjape
Backend

Privacy Engineering at DoorDash Drive

DoorDash Drive explors geomasking user addresses to protect privacy while maintaining local analytic capabilities.

Alex Dougherty
Backend Data Mobile Web

Leveraging Flink to Detect User Sessions and Engage DoorDash Consumers with Real-Time Notifications

Doordash optimizes real-time notifications with the frontend events by leveraging streaming processing.

Chen Yang Fan Zhang
Culture

Nurturing Engineering Talent: The DoorDash Apprentice Engineering Manager Program 

DoorDash's Apprentice Engineering Manager Program fosters tech talent, preparing them for leadership in innovation-driven tech industry.

Gayatri Iyengar Stephanie Morales
Backend Mobile Web

Revamping Dasher FAQ Hub Through Server-Driven Content and WebView

Optimize your Dasher journey: unlock efficiency, boost earnings, and overcome challenges with our self-help content hub

Kent Lee Jason Prasad Siddharth Utgikar Josephine Chen
Backend Data General

How DoorDash Standardized and Improved Microservices Caching

DoorDash's in-house multi-layer cache, used to unlock our high-performance services across DoorDash

Lev Neiman Jason Fan
Backend Data

Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

Solutions for dealing with sample ratio mismatch.

Stas Sajin Michael Zhou Krishna Gourishetti
Culture

How DoorDash Defines Great Engineering Management

How DoorDash defines great engineering management

LandisCoutzoukis
Culture

How DoorDash Fosters Meaningful Engineering Career Development

How DoorDash fosters meaningful engineering career development

LandisCoutzoukis
Machine Learning

How DoorDash Improves Holiday Predictions via Cascade ML Approach

Learn how DoorDash optimizes supply and demand forecasts using a cascade machine learning approach for enhanced accuracy during holidays. Discover how this innovative technique, combining Gradient Boosting and linear models, ensures operational efficiency, top-notch customer experiences, and seamless Dasher interactions.

Chad Akkoyun Zainab Danish
Backend

BPFAgent: eBPF for Monitoring at DoorDash

Learn how DoorDash uses eBPF to monitor vital networking traffic in its Kubernetes clusters.

PatrickRogers
Backend

How DoorDash Migrated from StatsD to Prometheus

Learn how DoorDash migrated to Prometheus

QixuanWang

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