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

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This is a medium difficulty Machine Learning question, commonly asked during Onsite rounds at Airbnb.

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This question is commonly asked for Machine Learning Engineer candidates at Airbnb during technical interviews.

Design photo and listing quality models | Airbnb Interview Question

Design photo and listing quality models

Last updated: Apr 6, 2026

Quick Overview

This question evaluates competency in machine learning product design and engineering, encompassing labeling strategy, feature engineering, model selection, evaluation metrics, deployment, monitoring, and fairness considerations for optimizing cover photo selection and identifying high-quality listings.

Airbnb

Jan 5, 2026, 12:00 AM

Machine Learning Engineer

Onsite

Machine Learning

Discuss how you would solve the following two machine learning product problems for a travel marketplace.

Improve booking performance by selecting the best cover photo to show for a listing or experience.
Identify high-quality listings in order to improve user experience through ranking, promotion, or quality enforcement.

For each problem, describe:

problem framing and business objective
training labels and their limitations
useful features
model choices
offline and online evaluation metrics
experimentation strategy
cold-start handling
bias, feedback-loop, and fairness risks
deployment and monitoring considerations

Solution

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