Staff Machine Learning Engineer

Responsibilities

• Drive the design and development of large-scale ML/optimization systems for DashPass personalization
• Contribute to Causal inference modeling to measure incremental impact of acquisition and retention strategies
• Develop incentive optimization frameworks to personalize progressive rewards
• Build budget allocation and forecasting models for optimal spend across acquisition and retention
• Partner with Product, Data Science, and Engineering teams to design experiments and production ML systems
• Provide technical mentorship and guidance to engineers and cross-functional partners
• Build and deploy 0→1 ML systems to improve subscriber outcomes
• Set best practices for model training, evaluation, deployment, and monitoring

Requirements

• M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
• 8+ years of industry experience building production-scale ML systems
• Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor)
• Strong understanding of probability theory, statistics, and machine learning fundamentals
• Strong programming skills in Python, Java, or C++
• Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost
• Proven ability to lead cross-functional initiatives and complex technical projects
• Excellent communication skills for technical and business audiences

Preferred Qualifications

• Experience in subscriptions growth or marketplace systems

About the Company

DoorDash is a technology and logistics company on a mission to empower local economies. We are growing rapidly, moving from food delivery to being the platform people turn to for any and all goods.