Machine Learning Engineer, Marketplace Optimization

About this role

Join DoorDash's Marketplace Optimization team to design and deploy machine learning systems powering the ads delivery funnel. You'll build models for bidding, auction design, budget pacing, and forecasting that directly impact advertiser and consumer experiences across a rapidly expanding marketplace.

What you'll do

• 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 experimentation
• Scale existing ML infrastructure and data pipelines in partnership with Platform and Infrastructure teams
• Execute lift tests and A/B testing frameworks to measure model impact on marketplace KPIs
• Write high-quality, maintainable code and participate in system design and peer reviews
• Partner cross-functionally with engineering, analytics, product, and operations teams

What they're looking for

• Machine learning model design and deployment
• Large-scale data pipeline development
• Deep learning techniques
• Experimentation and A/B testing
• Python or similar ML programming languages
• Software engineering best practices
• Optimization algorithms
• Cross-functional collaboration