Staff Machine Learning Engineer - Credit & Refund Optimization
Skills
- Expertise in causal inference methodologies such as uplift modeling, treatment effect estimation
- Strong background in optimization algorithms including multi-objective and constrained optimization
- Proficiency with Python, PyTorch, Spark, and MLflow frameworks
- Ability to translate complex business goals into technical ML solutions
- Strong leadership and communication skills across cross-functional teams
Responsibilities
- Design and deploy causal inference models to evaluate the effects of refunds and credits on customer outcomes
- Develop and implement optimization frameworks balancing customer experience and operational costs
- Build real-time personalized decision systems adapting to customer preferences and platform dynamics
- Collaborate cross-functionally with engineering, product, and data science teams to define strategic roadmaps
- Lead end-to-end ML model development including experimentation, deployment, monitoring, and iteration
Education
- Master's or Ph.D. in Computer Science, Statistics, Operations Research, Economics, Mathematics, or related quantitative fields
Benefits
- Comprehensive medical, dental, and vision insurance
- 401(k) plan with employer matching
- 16 weeks paid parental leave
- Flexible paid time off and paid sick leave
- Wellness benefits and mental health programs
- Commuter benefits match
- Paid holidays and family-forming assistance
- Disability and life insurance
Average salary estimate
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DoorDash is a technology company that connects customers with their favorite local and national businesses in the United States and Canada. The company is headquartered in San Francisco, California.
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