At 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 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.
Software Engineer, Machine Learning - Credit & Refund Optimization
Location
United States
Posted
12 days ago
Salary
$137.1K - $299.3K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Software Engineer, Machine Learning - Credit & Refund Optimization
DoorDash USA
Role Description We're seeking a 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 experience. In 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. You’re excited about this opportunity because you will: - Design and deploy causal inference models to accurately assess the impact of refunds and credits on customer satisfaction, retention, and behavior. - Develop optimization frameworks that balance customer experience with operational cost, under policy and budget constraints. - Build personalized decision systems that adapt to customer preferences and platform dynamics in real time. - Collaborate with engineering, product, and data science partners to shape the roadmap for trust, service recovery, and consumer experience. - Lead end-to-end model development, including experimentation, deployment, monitoring, and iteration. Qualifications - 3+ years of industry experience delivering machine learning systems with clear business impact, especially in personalization, optimization, or causal inference. - Deep 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 MLflow. - A strong product sense and ability to translate business objectives into technical solutions. - M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Economics, Mathematics). - Excellent communication skills and a track record of cross-functional leadership. Benefits - Comprehensive benefits package including a 401(k) plan with employer matching. - 16 weeks of paid parental leave. - Wellness benefits and 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. - Flexible paid time off/vacation for salaried roles, plus 80 hours of paid sick time per year. - Vacation accrued for hourly roles at about 1 hour for every 25.97 hours worked. - Paid sick time accrued at 1 hour for every 30 hours worked. Company Description At 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 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. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
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