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ML Knowledge

a year ago

How do you approach cleaning and restructuring data to optimize its use in machine learning?

Machine Learning Engineer

Google

Roku

Robinhood

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a year ago

System Design

a year ago

Develop a real-time ad bidding system for online ads.

Software Engineer

Google

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a year ago

System Design

a year ago

Design a system for managing a distributed message broker.

ML Engineering Manager

Google

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a year ago

Behavioral

a year ago

Tell me about a time when you had to finish a project with someone you didn't get along with.

Program ManagerData Engineering ManagerEngineering ManagerUX Designer

Google

Amazon

Figma

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a year ago

System Design

a year ago

How would you approach designing a medical sensor system that ensures data privacy and regulatory compliance?

Machine Learning Engineer

Google

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a year ago

Product Design

a year ago

You've captured a flying fish. What are you going to do with it?

Product Manager

Google

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a year ago

Whiteboarding/problem solvingTechnical

a year ago

Explain Kubernetes to a non-technical audience.

Technical Account Manager

Google

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a year ago

ML Knowledge

a year ago

Elaborate on the significance of the ROC curve in the field of machine learning.

Machine Learning Engineer

Google

Amazon Web Services

Tableau

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a year ago

TechnicalWhiteboarding/problem solving

a year ago

Explain the difference between SQL and NoSQL databases.

Technical Account Manager

Google

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a year ago

Behavioral

a year ago

From your perspective, what traits define an effective ML EM?

ML Engineering Manager

Google

Adobe

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a year ago

Try Free AI Interview

Google

Software Engineer

Prepare for Behavioral interview at Google

Behavioral

Google

Product Manager

Prepare for Product Strategy interview at Google

Product Strategy

Google

Engineering Manager

Prepare for System Design interview at Google

System Design

Google

Data Scientist

Prepare for DS Analytical Execution interview at Google

DS Analytical Execution

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^*All interview questions are submitted by recent Google candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-Google employees.