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Machine Learning Engineer, Marketplace Optimization

San Francisco💼 Full-time🗓 2026-07-10 → 2026-07-31

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++

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