TikTok

Machine Learning Engineer Interview Experience

December 17, 2025

Positive ExperienceNo Offer

Process

HR reached out.

1st round: Live coding with two LeetCode questions.
2nd round: System design, where I had to design a system for the TikTok Shop.

I was rejected after the second round. Both rounds were conducted by MLEs within the team.

Questions

LeetCode questions and System Design.

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Interview Statistics

The following metrics were computed from 186 interview experiences for the TikTok Machine Learning Engineer role.

Success Rate

11%

Pass Rate

TikTok's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive34%

Neutral42%

Negative24%

Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process.

TikTok Work Experiences

Great place for making impacts

Machine Learning Engineer • Former Employee

Seattle, Washington, United States

Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.

Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.

Great place for making impacts

Machine Learning Engineer • Former Employee

Seattle, Washington, United States

Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.

Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.

Good learning opportunities, but intense work

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Plenty of things to learn and problems to tackle.

Cons: Tech might be a bit outdated. Work-life balance is not the best.

Good learning opportunities, but intense work

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Plenty of things to learn and problems to tackle.

Cons: Tech might be a bit outdated. Work-life balance is not the best.

Very fast-moving and stressful

Machine Learning Engineer • Current Employee

Mountain View, California, United States

February 18, 2025

Pros: You will learn many things very fast. Work on very high-impact projects.

Cons: Unpredictable work hours. Forget about work-life balance.

Very fast-moving and stressful

Machine Learning Engineer • Current Employee

Mountain View, California, United States

February 18, 2025

Pros: You will learn many things very fast. Work on very high-impact projects.

Cons: Unpredictable work hours. Forget about work-life balance.

Great place for making impacts

Machine Learning Engineer • Former Employee

Seattle, Washington, United States

Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.

Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.

5.0
Great place for making impacts
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
April 9, 2025
Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.
Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.

Good learning opportunities, but intense work

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Plenty of things to learn and problems to tackle.

Cons: Tech might be a bit outdated. Work-life balance is not the best.

3.0
Good learning opportunities, but intense work
Machine Learning Engineer • Current Employee
Singapore, Singapore
May 14, 2025
Pros: Plenty of things to learn and problems to tackle.
Cons: Tech might be a bit outdated. Work-life balance is not the best.

Very fast-moving and stressful

Machine Learning Engineer • Current Employee

Mountain View, California, United States

February 18, 2025

Pros: You will learn many things very fast. Work on very high-impact projects.

Cons: Unpredictable work hours. Forget about work-life balance.

3.0
Very fast-moving and stressful
Machine Learning Engineer • Current Employee
Mountain View, California, United States
February 18, 2025
Pros: You will learn many things very fast. Work on very high-impact projects.
Cons: Unpredictable work hours. Forget about work-life balance.

TikTok Interview Questions

Generate Parentheses

Given a number 'n', generate all possible well-formed (balanced) parentheses strings of length 2*n. For instance, if n=3, you need to create all valid combinations like '((()))', '(()())', etc.

RecursionStrings

Longest Substring Without Repeating Characters

Find the length of the longest substring within a given string that contains no repeating characters. The substring must be contiguous.

StringsTwo PointersSliding Windows

Search in Rotated Sorted Array

You're given a sorted array that has been rotated, and a target value. Find the index of the target value in the rotated array, or return -1 if it's not present.

ArraysBinary Search

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