Staff Machine Learning Engineer - DashPass
DoorDash
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Benefits offered by this job
Job summary
Qualifications
- 8+ years of industry experience building production-scale ML systems.
- Strong understanding of probability theory, statistics, and machine learning fundamentals.
- Interest in building and leading a new team.
Responsibilities
- Contribute to causal inference modeling.
- Build incentive optimization frameworks.
- Develop budget allocation and forecasting models.
- Partner with Product, Data Science, and Engineering teams.
- Provide technical mentorship to engineers.
Skills
Education
Tools
Job description
DashPass is DoorDash’s subscription loyalty program that delivers lower delivery fees and a host of additional benefits and value to a large subscriber base of both paid and sponsored subscriptions. DashPass subscribers enjoy lower delivery fees, faster ETAs, 3rd party partnerships, and special discounts and promotions to get maximum value of their membership. Several teams are part of the DashPass org including Growth, Habituation, Member Experience, Exclusive Offers, and Partnerships. All of these teams require personalized targeting of offers and promotions to entice active Doordash consumers to sign up for DashPass and actively engage with their subscription in a personalized way, as well as reduce churn by offering personalized incentives to DashPass subscribers to keep using their subscription. We are forming a new team that will leverage AI and advanced ML to power decision making in real-time – from personalized sign up promotions to progressive reward systems, and to pre-cancel offers that retain subscribers. DashPass is continuously building new benefits and offerings to drive more value for our subscribers, and personalization is our next big bet to help efficiently grow our subscriber base to 2030 and beyond.
We’re looking for a Staff Machine Learning Engineer to drive the design and development of large-scale ML/optimization systems to target personalization efforts across the DashPass Subscriber journey.
- Contribute to Causal inference modeling to measure the incremental impact of DashPass Subscriber acquisition and retention strategies.
- Build incentive optimization frameworks that personalize progressive rewards to improve spend efficiency.
- Develop 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.
This is a highly impactful IC role for someone who enjoys combining economic intuition, large-scale ML modeling, and system design to solve complex real-world optimization problems.
- 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.
- Excellent communication skills — able to explain technical concepts to product, business, and engineering audiences.
- Experience in subscriptions growth or marketplace systems is a plus.
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws. DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here.
- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and iterate to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior from ever gaining a foothold in our office.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
$137,100—$201,600 USD for I4; $167,800—$246,800 USD for I5; $203,500—$299,300 USD for I6.
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