Staff Machine Learning Engineer - Credit & Refund ...

Staff Machine Learning Engineer - Credit & Refund OptimizationSan Francisco, CA; Sunnyvale, CA; Seattle, WAAbout the TeamJoin the team focused on building intelligent, personalized systems that drive fairness, efficiency, and trust in the DoorDash platform. We own the credits and refunds experience—key components of customer satisfaction and retention—and we’re pioneering new ways to optimize and personalize these decisions at scale using causal inference and optimization.About the RoleWe're seeking a Staff Machine Learning Engineer to lead the development of state-of-the-art ML systems that personalize and optimize credits and refund decisions. This work is critical to balancing cost efficiency with long-term customer retention and this high-impact role, you will partner with cross-functional leaders to design and deploy causal models and optimization algorithms that influence millions of user experiences every week.ResponsibilitiesDesign and deploy causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behaviorDevelop optimization frameworks that balance customer experience with operational cost, under policy and budget constraintsBuild personalized decision systems that adapt to customer preferences and platform dynamics in real timeCollaborate with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experienceLead end-to-end model development, including experimentation, deployment, monitoring, and iterationQualificationsM.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics)6+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inferenceDeep expertise in statistical modeling and causal inference (e.g., uplift modeling, treatment effect estimation, synthetic controls, instrumental variables)Experience designing and deploying optimization algorithms (e.g., multi-objective optimization, bandits, constrained optimization)Proficiency in Python and ML tooling such as PyTorch, Spark, and MLflowA strong product sense and ability to translate business objectives into technical solutionsExcellent communication skills and a track record of cross-functional leadershipHands-on leadership and strong product intuitionHumility - willing to get into the details and open to feedbackGrowth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth settingAdaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolveAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order 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 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. 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.To learn more about our benefits, visit our careers page here.Diversity and InclusionWe’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. We strive to prevent other forms of inappropriate behavior from gaining a foothold in our office. 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.Pursuant to applicable local hiring regulations, we will consider for employment qualified applicants in a manner consistent with those regulations.If you need any accommodations, please inform your recruiting contact upon initial pensation and BenefitsThe successful candidate/'s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. 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 offers a comprehensive benefits package to all regular employees, including 401(k) with employer matching, parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, medical/dental/vision, holidays, disability and life insurance, family-forming assistance, and mental health programs. For details, see the careers page.See below for paid time off details for salaried and hourly roles, and base pay ranges: I4 $137,100 - $201,600 USD; I5 $167,800 - $246,800 USD; I6 $203,500 - $299,300 USD.Apply for this jobNote: This section has been removed in the refined description to focus on role content and essential information. #J-18808-Ljbffr

Created: 2025-09-22