LinkedIn

AI Engineer Interview Experience - Sunnyvale, California

April 2, 2026

Positive ExperienceNo Offer

Process

I applied through a recruiter. The process took 5 weeks.

The interview process was nice. The first question was a coding question, and the second was just general knowledge of AI, CNNs, and neural networks, explaining the fundamental concepts of a multi-layer perceptron, etc., including the cost function and backpropagation.

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Interview Statistics

The following metrics were computed from 2 interview experiences for the LinkedIn AI Engineer role in Sunnyvale, California.

Success Rate

0%

Pass Rate

LinkedIn's interview process for their AI Engineer roles in Sunnyvale, California is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for LinkedIn's AI Engineer interview process in Sunnyvale, California.

LinkedIn Work Experiences

Smart team and good food, but culture is declining

AI Engineer • Current Employee

Mountain View, CA

Pros: There was good food and great knowledgeable ICs. There were a lot of very smart and very motivated people. Whoever is left at the company is still trying to keep it going. The WLB is not as bad as other big tech.

Cons: Culture has taken a dive. We are now pushing people like Meta, but we are not paying Meta salary. A lot of people are burning out and are forced to work a very certain way that decreases overall productivity. People have begun gaming performance metrics, which is a very bad sign.

Smart team and good food, but culture is declining

AI Engineer • Current Employee

Mountain View, CA

Pros: There was good food and great knowledgeable ICs. There were a lot of very smart and very motivated people. Whoever is left at the company is still trying to keep it going. The WLB is not as bad as other big tech.

Cons: Culture has taken a dive. We are now pushing people like Meta, but we are not paying Meta salary. A lot of people are burning out and are forced to work a very certain way that decreases overall productivity. People have begun gaming performance metrics, which is a very bad sign.

Great perks overshadowed by toxic politics

AI Engineer • Former Employee

August 19, 2026

Pros: There are plenty of perks and benefits.

Cons: It was toxic, and there was a lot of politics. It was like a meat grinder machine. The stack was outdated, and there was no real growth.

Great perks overshadowed by toxic politics

AI Engineer • Former Employee

August 19, 2026

Pros: There are plenty of perks and benefits.

Cons: It was toxic, and there was a lot of politics. It was like a meat grinder machine. The stack was outdated, and there was no real growth.

Very good growth

AI Engineer • Current Employee

December 3, 2025

Pros: There is scope to grow and learn from peers.

Cons: There are not as much resources as large companies like Meta.

Very good growth

AI Engineer • Current Employee

December 3, 2025

Pros: There is scope to grow and learn from peers.

Cons: There are not as much resources as large companies like Meta.

Smart team and good food, but culture is declining

AI Engineer • Current Employee

Mountain View, CA

Pros: There was good food and great knowledgeable ICs. There were a lot of very smart and very motivated people. Whoever is left at the company is still trying to keep it going. The WLB is not as bad as other big tech.

Cons: Culture has taken a dive. We are now pushing people like Meta, but we are not paying Meta salary. A lot of people are burning out and are forced to work a very certain way that decreases overall productivity. People have begun gaming performance metrics, which is a very bad sign.

1.0
Smart team and good food, but culture is declining
AI Engineer • Current Employee
Mountain View, CA
May 9, 2026
Pros: There was good food and great knowledgeable ICs. There were a lot of very smart and very motivated people. Whoever is left at the company is still trying to keep it going. The WLB is not as bad as other big tech.
Cons: Culture has taken a dive. We are now pushing people like Meta, but we are not paying Meta salary. A lot of people are burning out and are forced to work a very certain way that decreases overall productivity. People have begun gaming performance metrics, which is a very bad sign.

Great perks overshadowed by toxic politics

AI Engineer • Former Employee

August 19, 2026

Pros: There are plenty of perks and benefits.

Cons: It was toxic, and there was a lot of politics. It was like a meat grinder machine. The stack was outdated, and there was no real growth.

1.0
Great perks overshadowed by toxic politics
AI Engineer • Former Employee
New York, NY
August 19, 2026
Pros: There are plenty of perks and benefits.
Cons: It was toxic, and there was a lot of politics. It was like a meat grinder machine. The stack was outdated, and there was no real growth.

Very good growth

AI Engineer • Current Employee

December 3, 2025

Pros: There is scope to grow and learn from peers.

Cons: There are not as much resources as large companies like Meta.

5.0
Very good growth
AI Engineer • Current Employee
December 3, 2025
Pros: There is scope to grow and learn from peers.
Cons: There are not as much resources as large companies like Meta.

LinkedIn Interview Questions

Binary Tree Upside Down

Transform a binary tree so that the original left-most leaf becomes the new root. The original root becomes a left child, and the original right child becomes the right child of the original root's parent.

Insert Delete GetRandom O(1)

Design a data structure that supports insertion, deletion, and random element retrieval, all in constant time on average. You'll need to handle edge cases carefully to achieve O(1) complexity.

ArraysArraysDynamic Programming

Nested List Weight Sum II

You're given a nested list of integers where each integer has a depth. Calculate the weighted sum of all integers, where the weight is the depth of the integer from the bottom of the nested structure.

ArraysRecursion

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