Machine Learning Engineer, Drive
Core
Build prediction and intelligence systems for DoorDash Drive, including delivery/pickup time estimation, merchant prep-time prediction, order release optimization, and AI-powered delivery quality signals.
Role type
Senior Machine Learning Engineer (Logistics & Marketplace)
Builds
Next-generation ML models for ETA, pickup ETA, prep-time, and order release; deep learning models using spatiotemporal/marketplace signals; reinforcement learning for logistics decisions; AI-native experiences using LLMs/VLMs for order verification.
Domain
Logistics, Marketplace, Delivery
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Optimization/Operations Research, LLMs/VLMs, Python, PyTorch, Spark, Airflow, End-to-end ML system deployment, Online experimentation, Multimodal AI
Preferred skills
Experience in logistics/marketplaces/delivery platforms, AI-assisted development tools
Technologies
PyTorch, Spark, Airflow, LLMs, VLMs
Responsibilities
Build and deploy deep learning models for delivery and pickup time estimation; Apply reinforcement learning to optimize logistics decisions and assignment strategies; Develop AI-native product experiences using LLMs and VLMs for order verification; Design and run rigorous online experiments and production monitoring; Partner with software engineers and product teams to scale ML capabilities.
Seniority
Senior, hands-on IC
