Base Salary
$137k - $202k/yr
Responsibilities
- Build and deploy large-scale machine learning and optimization systems for DashPass personalization.
- Develop causal inference models to measure the incremental impact of subscriber acquisition and retention strategies.
- Create incentive optimization frameworks for personalized progressive rewards.
- Develop budget allocation and forecasting models across acquisition, referrals, and retention.
- Partner with Product, Data Science, and Engineering teams on experiments, model frameworks, and production ML systems.
- Provide technical mentorship and guidance to engineers and cross-functional partners while leading through influence.
- Build 0-to-1 ML systems that improve subscriber outcomes and marketplace health.
- 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 machine learning systems.
- Strong understanding of probability theory, statistics, and machine learning fundamentals.
- Strong programming skills in Python, Java, or C++.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or XGBoost.
- Ability to lead cross-functional initiatives and drive complex technical projects end-to-end.
- Excellent communication skills for explaining technical concepts to product, business, and engineering audiences.
- Interest in building and leading a new team with broad impact.
- Experience in subscriptions growth or marketplace systems is a plus.
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits and wellness expense reimbursement
- Commuter benefits match
- Flexible paid time off and 80 hours of paid sick time annually for salaried roles
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance and mental health program
- Equity grant opportunities
- Base salary is localized by work location and ranges vary by market
Categories
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.