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Staff Software Engineer, Machine Learning - Personalization

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DoorDash
πŸ“ San Francisco, United States
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Location San Francisco
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Posted June 06, 2026
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Commute Local Area
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Job Description

About the Team
Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.
About the Role
We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user ...

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πŸ“ Location Details

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City
San Francisco
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Country
United States
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Commute
Local Area

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