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ML Knowledge

2 years ago

How do bagging and boosting techniques differ from each other in machine learning, and in what ways do they impact the bias and variance of models?

Machine Learning Engineer

Rivian

Benchling

Soundcloud

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2 years ago

Behavioral

2 years ago

Can you share with me a time when you received difficult feedback?

Data ScientistFull Stack Software EngineerFrontend EngineerProgram Manager

Rivian

Bol.com

Staples

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2 years ago

TechnicalRole Related Knowledge

2 years ago

What tools have you worked with to help boost customer success?

Customer Experience Lead

Rivian

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2 years ago

Behavioral

2 years ago

How have you learned from a mistake you made in a past job, and what did you do to prevent it from happening again?

Engineering ManagerData Engineering ManagerUX ResearcherUX Designer

Rivian

Box

Amdocs

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2 years ago

ML KnowledgeML Case

2 years ago

What are the optimization strategies you're versed in, and can you summarize their operation?

Machine Learning Engineer

Rivian

Blend

Udemy

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2 years ago

Behavioral

2 years ago

Describe a time you disagreed with a coworker but had to cooperate to get a project done.

Software EngineerData Engineering ManagerEngineering ManagerUX Designer

Rivian

Amazon

Figma

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2 years ago

ML Knowledge

2 years ago

Explain the basic steps of backpropagation in a neural network?

Data Scientist

Rivian

Quantcast

Citrix

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2 years ago

Coding

2 years ago

Can you demonstrate how you would discover the communal origins between two individuals in a family tree?

Machine Learning Engineer

Rivian

Yandex

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2 years ago

Behavioral

2 years ago

What's the most original idea you've ever come up with?

UX DesignerML Engineering ManagerData Science ManagerData Engineering Manager

Rivian

SPS Commerce

Grover

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2 years ago

Behavioral

2 years ago

Let's talk about a conflict that you had with your manager.

Full Stack Software EngineerTechnical Program ManagerSoftware EngineerBackend Engineer

Rivian

Nuro

Sendbird

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2 years ago

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