Machine Learning Engineer, Supply Strategy & Optimization at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

• Own and operate ML systems that predict Dasher supply, optimize advertisement spend, and improve marketplace balance.
• Build optimization and causal inference models to improve incentive efficiency and retention.
• Develop automated experimentation pipelines for evaluating incentive performance and marketplace interventions.
• Collaborate cross-functionally to deliver scalable, production-grade ML solutions.
• Advance personalization frameworks that deliver targeted and adaptive Dasher incentives.
• Enhance ML platformization efforts to improve scalability and reliability across use cases.
• Shape the future of supply optimization and Dasher incentives at DoorDash.
• Design and deploy production ML systems that drive decision-making across Dasher acquisition, incentives, and marketplace balancing.
• Own the end-to-end ML lifecycle—from feature engineering and model training to deployment, experimentation, and monitoring—while working closely with partners in Product, Operations, and Analytics to shape how DoorDash optimizes supply and mobilization at scale.

Required Qualifications

• PhD or 2+ years of industry experience post graduate degree of developing advanced machine learning models with business impact.
• You have hands-on experience owning production ML models and pipelines
• You have strong fundamentals in applied machine learning, optimization, and experiment design
• You thrive in ambiguous, fast-paced environments and are motivated by measurable impact
• You have a track record of collaborating with cross-functional partners and operating with end-to-end ownership
• You’re passionate about using ML to solve high-impact, real-world problem

Key Skills

• Developing advanced machine learning models
• Owning production ML models and pipelines
• Applied machine learning
• Optimization
• Experiment design
• Causal inference modeling
• Incentive optimization frameworks
• Budget allocation and forecasting models
• Platformization of ML systems
• Feature engineering

DoorDash Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance

Salary Range

$1,37,100 - $2,99,300 USD annually

Job Summary

About the Team

The Supply Strategy and Optimization team ensures DoorDash’s marketplace remains balanced, efficient, and profitable by intelligently managing Dasher supply and engagement. Our mission is to deliver an exceptional customer experience by keeping roads well-supplied across all geographies and delivery verticals—while enabling Dashers to maximize their earnings and achieve supply outcomes efficiently for DoorDash.

We build systems that forecast supply needs, optimize incentive spend, and enable data-driven decisions across dasher acquisition, retention, and mobilization. The team combines machine learning, optimization, and causal inference to design scalable levers and real-time systems that balance Dasher supply with customer demand across geographies and delivery t...

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