Staff Machine Learning Engineer - Credit & Refund Optimization (Sunnyvale)

Staff Machine Learning Engineer - Credit & Refund Optimization

Join to apply for the Staff Machine Learning Engineer - Credit & Refund Optimization role at DoorDash

Staff Machine Learning Engineer - Credit & Refund Optimization

4 days ago Be among the first 25 applicants

Join to apply for the Staff Machine Learning Engineer - Credit & Refund Optimization role at DoorDash

About The Team

Join the team focused on building intelligent, personalized systems that drive fairness, efficiency, and trust in the DoorDash platform. We own the credits and refunds experiencekey components of customer satisfaction and retentionand were pioneering new ways to optimize and personalize these decisions at scale using causal inference and optimization.

About The Team

Join the team focused on building intelligent, personalized systems that drive fairness, efficiency, and trust in the DoorDash platform. We own the credits and refunds experiencekey components of customer satisfaction and retentionand were pioneering new ways to optimize and personalize these decisions at scale using causal inference and optimization.

About The Role

We'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 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

We're Excited About You Because You Have

• M.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 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
• Excellent communication skills and a track record of cross-functional leadership
• Hands-on leadership and strong product intuition
• Humility - willing to get into the details and open to feedback
• Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The 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 employees 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. Thats 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 (e.g. Colorado Healthy Families and Workplaces Act). 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.

See Below For Paid Time Off Details

• 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).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

I4

$137,100$201,600 USD

I5

$167,800$246,800 USD

I6

$203,500$299,300 USD

About DoorDash

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 usersfrom 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.

Our Commitment to Diversity and Inclusion

Were committed to growing and empowering a more inclusive community within our company, industry, and cities. Thats 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. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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