Design a ride-hailing ETA system

Quick Overview

This question evaluates competency in applied machine learning and data science, including ETA system and product design, feature and label engineering, model selection and evaluation, low-latency serving, and operational challenges such as delayed ground truth, concept drift, cold starts, and fairness.

Design a ride-hailing ETA system

Company: Uber

Role: Data Scientist

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Quick Answer: This question evaluates competency in applied machine learning and data science, including ETA system and product design, feature and label engineering, model selection and evaluation, low-latency serving, and operational challenges such as delayed ground truth, concept drift, cold starts, and fairness.

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Jan 3, 2026, 12:00 AM
mediumData ScientistTechnical ScreenMachine Learning
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