About the Team

Our mission is to maximize earning opportunities for Dashers in a way that’s financially sustainable for DoorDash. We’re building systems that ensure every Dasher can achieve their financial goals—whether that means paying rent, saving for a dream, or simply earning extra cash—no matter what kind of delivery they complete.

We measure our success by improving earning potential and reliability, making pay feel fairer and more consistent, and continuously finding new ways to help both Dashers and DoorDash thrive. We believe in building a pay platform that is thoughtful, protects our Dashers, and supports the goals of all DoorDash teams.

Our north star:

DoorDash is a profitable and reliable way for every Dasher to earn money Every Dasher can achieve their financial goals Our pay system is both fair for Dashers and sustainable for the business About the Role

As an ML Engineer in Dasher Earnings, you’ll lead the design and deployment of models with direct and measurable business impact. You’ll drive the full ML lifecycle: feature creation, model development, deployment, experimentation, and monitoring. You’ll also work closely with cross-functional partners in product, operations, and analytics.

Key initiatives you’ll contribute to:

Evolving our pay models to maximize marketplace efficiency, fairness, and Dasher engagement Advancing causal inference and optimization frameworks for live experiments (including hourly switchbacks, A/Bs) Automating and scaling our model deployment and monitoring processes

You can find out more on our ML blog here

You’re excited about this opportunity because you will… Own impactful ML systems: Build and improve models that drive Dasher earnings, retention, and business growth Drive experimentation: Rapidly test hypotheses via robust sequential experiments; measure and explain your models’ impact on marketplace KPIs Optimize at scale: Work with one of the largest delivery datasets, building optimization pipelines that consider budget, fairness, assignment rates, and more Collaborate cross-functionally: Partner with engineering, analytics, product, and operations to iterate quickly, moving models from prototype to production Shape the future: Help define the direction of pay optimization and driver incentives across DoorDash We’re excited about you because… 1+ years of industry experience post PhD or 3+ 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 problems

 

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