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Staff ML Engineer, Shopping Ranking and Recommendations

Uber Corporate
San Francisco Full-day Full-time

Description:

About the Role The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML), Optimization techniques to learn from massive datasets Uber has, and build a scalable and reliable shopping intelligence ranking and recommendation systems. We are actively seeking individuals who excel in problem-solving and critical thinking, are profic
Feb 25, 2025;   from: dice.com

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