Design a ride-hailing ETA system

Read the full interview experience this question came from →

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

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.

Read the full Uber Data Scientist interview experience this question came from

|Home/Machine Learning/Uber
Uber logo
Uber
Jan 3, 2026
mediumData ScientistTechnical ScreenMachine Learning
3
0
Loading...
Loading comments...