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Prep plan
Updated weekly · Last refresh Aug 30

Uber AI Engineer Interview Questions

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

23questions
~3htotal time
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1
Generative AI & LLMsStart here. 3 questions · ~24 min
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationUber
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2
System Design4 questions · ~32 min
Design a Real-Time ML Feature StoreHard

Design a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.

Feature StoreFeature DriftModel ServingUber
Monitoring and Retraining AutomationMedium

Tests MLOps practices for monitoring, drift handling, and safe retraining workflows.

model performancemonitoringUber
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3
Machine Learning4 questions · ~32 min
Handling Data DriftMedium

Tests monitoring, detection, and mitigation strategies for model degradation.

production systemsdata driftUber
Feature Engineering for Real-TimeMedium

Tests practical feature design for low-latency ML systems.

Feature EngineeringRecommendation SystemsUber
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4
Coding5 questions · ~40 min
Custom Stream Data StructureHard

Tests data structure design and performance engineering for streaming workloads.

Stream ProcessingData StructuresUber
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5
Behavioral & Leadership5 questions · ~40 min
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6
More topics2 questions · ~16 min
Embeddings and Vector SearchMedium

Tests understanding of representation learning and retrieval quality in vector databases.

Vector SearchUber
Evaluating Asymmetric ErrorsMedium

Tests metric selection and decision thresholding under asymmetric business costs.

false positivescost analysisModel EvaluationUber
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