Machine Learning Engineer

Responsibilities

• Design, build, and deploy ML models and pipelines for pacing, bidding, auction and targeting optimization
• Collaborate with Data Science and Product teams to develop and evaluate new algorithms through rigorous experimentation
• Improve and scale existing ML infrastructure and data pipelines in partnership with Platform and Infra teams
• Write high-quality, maintainable code and participate in system design and peer reviews
• Partner with Data Science and Marketing to design and execute lift tests

Requirements

• B.S., M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
• Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor)
• Industry experience building or maintaining machine learning systems in production
• Solid understanding of machine learning fundamentals, statistics, and data modeling
• Strong programming skills in Python, Java, or C++
• Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost

Preferred Qualifications

• Familiarity with auction systems, bidding, forecasting, or budget optimization
• Experience with experimentation science and designing lift tests
• Marketplace incrementality experience

About the Company

DoorDash is a technology and logistics company that empowers local economies, moving from food delivery to a platform for all goods.