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Staff Machine Learning Engineer, Rider Pricing & Incentives
Uber
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Sunnyvale, United States
Location
Sunnyvale
Posted
June 04, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**About the Team**
Uber Marketplace is at the heart of Uber's business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team's mission is to drive revenue growth, ridership growth and Uber's profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.
The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you'll have the chance to make a significant impact on the business. You'll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and d...
Uber Marketplace is at the heart of Uber's business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team's mission is to drive revenue growth, ridership growth and Uber's profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.
The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you'll have the chance to make a significant impact on the business. You'll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and d...