Machine Learning Engineer, Marketplace Optimization
DoorDash
About this role
A Machine Learning Engineer on DoorDash’s Marketplace Optimization team will design, build, and scale large-scale ML systems that power the Ads Delivery funnel across bidding, auction design, budget pacing, forecasting, and experimentation. The role focuses on applying ML and deep learning techniques to optimize marketplace efficiency, fairness, and scalability as DoorDash expands into new verticals.
Skills
Qualifications
About DoorDash
careersatdoordash.comDoorDash is a leading technology and logistics platform that connects consumers with local businesses for on-demand delivery of food, groceries, and retail goods. The company’s platform empowers merchants to grow their businesses, provides flexible earning opportunities for Dashers, and delivers convenient services to millions of customers worldwide.
Recent company news
MarketBeatInsider Selling: DoorDash (NASDAQ:DASH) Director Sells 1,250 Shares of Stock
18 hours ago
The Globe and MailAnalysts Offer Insights on Consumer Cyclical Companies: Planet Fitness (PLNT), DoorDash (DASH) and Penske Automotive Group (PAG)
1 day ago
DoorDashDoorDash Launches Emergency Food Response As SNAP Funding Cliff Threatens To Impact 40 Million Americans
Oct 26, 2025
ADWEEKDoorDash CMO Kofi Amoo-Gottfried Will Step Down After 7 Years
6 days ago
CT InsiderDoorDash suspends service in Connecticut during snowstorm
2 weeks ago
About DoorDash
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for DoorDash.
Salary
$137k – $299k
per year
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