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Software Engineer, Machine Learning - Fraud at DoorDash - ApplyBlast

Software Engineer, Machine Learning - Fraud

DoorDash

2 years ago

Sunnyvale, CA

Hybrid

Full Time

Senior

0 applicants

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About this role

An Applied Machine Learning Engineer at DoorDash develops production machine learning solutions to build a safe and frictionless shopping experience for a diverse and expanding retail space. The role involves conceptualizing, designing, implementing, and validating algorithmic solutions to prevent, detect, and mitigate fraud.

Skills

Qualifications

M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Bioinformatics, Economics, or other quantitative fields

About DoorDash

doordash.com

Headquarters

San Francisco, California, United States

Company Size

10001+ employees

Founded

2013

View Profile

DoorDash is a last‑mile logistics and on‑demand delivery platform that connects consumers with local restaurants, grocers, convenience stores, and other merchants through its marketplace and mobile apps. It operates consumer services (ordering and DashMart), a merchant toolkit for order management and analytics, a subscription service (DashPass), and DoorDash Drive for white‑label or large‑scale delivery. Deliveries are fulfilled by a network of independent drivers (“Dashers”) and optimized with routing and logistics technology across the U.S. and select international markets. The company positions itself as a technology partner for local commerce, helping merchants reach customers via flexible fulfillment and data-driven tools.