How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at Uber.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Uber during technical interviews.

Design a ride-hailing ETA system | Uber Interview Question

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.

During a first-round Data Scientist interview, you are asked a product and machine learning case question:

Design an estimated time of arrival (ETA) prediction system for a ride-hailing product.

Your discussion should cover:

what the product should predict: driver-to-pickup ETA, trip-to-destination ETA, or both
how to define the prediction target and timestamp conventions
what data and features you would use, such as route information, live traffic, driver and rider location, time of day, weather, and supply-demand conditions
how to construct training labels, including how to handle cancellations, missing labels, and delayed ground truth
model choices and serving constraints, especially low-latency online prediction
offline evaluation metrics and their tradeoffs, such as MAE, RMSE, P50 or P90 absolute error, and calibration
online experimentation and business guardrails
failure modes such as concept drift, cold start regions, sparse areas, extreme traffic events, and fairness across locations or user segments

State any assumptions clearly and explain what you would prioritize first.

Design a ride-hailing ETA system

Quick Overview

Solution

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