Staff Machine Learning Engineer - DashPass

About The Team

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.

About The Role

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.
• 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.

What You'll Bring

• 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) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software.
• 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.

Notice Regarding Use of AI and Automated Tools

To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit

Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page.

Paid Time Off Details

• Salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• 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).

DoorDash’s Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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 (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.

San Francisco Fair Chance Ordinance

If you need any accommodations, please inform your recruiting contact upon initial connection.