DoorDash-Specific ML Applications Questions

Domain-specific machine learning use cases within the DoorDash platform, covering production ML lifecycle topics such as demand forecasting, driver dispatch and routing, pricing and revenue optimization, recommendations, fraud detection, and real-time optimization. Includes model development, deployment, monitoring, drift handling, and scalability considerations for ML systems in a high-velocity delivery marketplace.