Machine Learning Engineer, Dasher Earnings
DoorDashAbout the role
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
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 employee’s 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. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of
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