How many interview rounds does Airbnb have for Machine Learning Engineer?

Airbnb typically conducts 4 interview rounds for Machine Learning Engineer positions, including a screening, a technical phone screen, and on-site interviews. Each round progressively deepens the evaluation of deep-learning, machine-learning, system-design.

What technical skills does Airbnb test for Machine Learning Engineer?

Airbnb evaluates deep-learning, machine-learning, system-design for Machine Learning Engineer candidates. You should be comfortable with deep-learning, machine-learning, system-design, coding, model-deployment and have real project examples ready.

What is the Machine Learning Engineer salary at Airbnb?

Total compensation for Machine Learning Engineer at Airbnb ranges from $140K to $300K per year. Senior levels (staff, principal) can exceed this range significantly with equity.

How to make a good impression in Airbnb's Machine Learning Engineer interview?

Demonstrate alignment with Airbnb's core values (Champion the Mission, Be a Host) through specific project examples. Show strong fundamentals in deep-learning, and machine-learning, and ask insightful questions about their engineering culture.

Startup · engineering

Airbnb Machine Learning Engineer Interview Questions

Complete prep guide for Machine Learning Engineer interviews at Airbnb. Real questions across 4 rounds, covering deep-learning, machine-learning, system-design, and salary ranges from $140K–$300K.

Get Personalized Interview Answers

Airbnb MLE Interview Breakdown

Round	Format	Focus
Phone Screen	Live Technical	deep-learning & machine-learning
Technical Rounds	Problem Solving	system-design, coding, model-deployment
Behavioral	STAR Method	Champion the Mission, Be a Host

Airbnb Machine Learning Engineer Technical Questions

Airbnb tests candidates on deep-learning, machine-learning, system-design, coding, model-deployment for Machine Learning Engineer roles. Below are the key topic areas you'll face.

deep learning

engineering

{company.displayName} frequently asks questions about {topic.replace(/-/g, " ")} during {role.shortName} interviews. Be ready to discuss real-world applications.

machine learning

high to very-high

150+ questions covering this topic area. Prepare with practical examples and edge-case discussion.

Practice 150+ questions →

system design

high to very-high

150+ questions covering this topic area. Prepare with practical examples and edge-case discussion.

Practice 150+ questions →

coding

engineering

{company.displayName} frequently asks questions about {topic.replace(/-/g, " ")} during {role.shortName} interviews. Be ready to discuss real-world applications.

model deployment

engineering

{company.displayName} frequently asks questions about {topic.replace(/-/g, " ")} during {role.shortName} interviews. Be ready to discuss real-world applications.

Airbnb Behavioral Questions — 5 Principles

Airbnb maps every behavioral question to one of these core values. Prepare STAR method answers for each principle.

BEHAVIORAL