Machine Learning Engineer, Marketplace Optimization
Core
Design, build, and deploy large-scale ML systems for pacing, bidding, auction, and targeting optimization within DoorDash's Ads Delivery funnel to improve marketplace efficiency and advertiser/consumer experience.
Role type
Senior Machine Learning Engineer (Marketplace Optimization)
Builds
Real-time ML models and pipelines for ad auctions, bidding strategies, and budget pacing
Domain
Online advertising, marketplace economics, real-time systems
Deliverable
production ML models
Required skills
Machine learning fundamentals, statistics, data modeling, Python, Java, C++, TensorFlow, PyTorch, XGBoost, AI coding tools proficiency
Preferred skills
Auction systems knowledge, bidding/forecasting experience, experimentation science, lift test design, marketplace incrementality experience
Technologies
TensorFlow, PyTorch, XGBoost, Python, Java, C++