Uber Machine Learning Engineer Interview Questions

The questions to prepare for a Uber Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

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Describe an ML ProjectEasy

Walk through a past ML project with clear problem framing, modeling choices, evaluation, and measurable impact.

Cross-ValidationFeature EngineeringSupervised Learning

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Sparse Data Pricing Models

Medium

Assesses modeling and training approaches for sparse signals in dynamic pricing systems.

model training

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Promotions and Coupons Experimentation

Medium

Evaluates experimental design and causal reasoning for promotion targeting on Uber Eats.

MetricsCausal Inferencepromotions

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Find First Local Minimum

Medium

Assesses problem-solving and edge-case handling for array scanning algorithms.

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Implement Softmax Function

Medium

Tests ability to implement a core ML math function correctly and efficiently.

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Design a Ride Matching RankerHard

Design the ML system for ride matching in a ride-sharing app, from candidate retrieval through ranking, serving, and monitoring.

Feature StoreModel ServingRecommendation Systems

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Uber Eats Restaurant Recommendation

Medium

Evaluates system design thinking for personalization and ranking at Uber Eats scale.

system architecture

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Build CDF From PDF

Medium

Tests statistical reasoning and correct transformation from PDF to CDF.

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