DoorDash's DashPass team aims to grow its subscriber base and reduce churn by leveraging AI and advanced ML for personalized targeting of offers and promotions. The challenge involves efficiently scaling DashPass to 2030 through real-time decision-making systems for sign-up promotions, progressive rewards, and pre-cancel offers.
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.
- Strong understanding of probability theory, statistics, and machine learning fundamentals.
- Strong programming skills in Python, Java, or C++, and experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost.
- Interest in building and leading a new team that has broad impact across a wide range of problem spaces to support a critical business line.
- Proven ability to lead cross-functional initiatives and drive complex technical projects end-to-end.
- Experience in subscriptions growth or marketplace systems is a plus.
Responsibilities
- Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
- Incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
- Budget allocation and forecasting models that identify optimal spend across acquisition, referrals, and retention.
- Partner closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass subscriber growth metrics.
- Provide technical mentorship and guidance to engineers and cross-functional partners — leading through influence, not management.
- Build and deploy 0→1 ML systems that improve subscriber outcomes and marketplace health.
- Set best practices for model training, evaluation, deployment, and monitoring
Other
- M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences.
- Flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- Paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws.
- Medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program.
