TikTok

Machine Learning Engineer Interview Experience - Seattle, Washington

March 1, 2024

Negative ExperienceNo Offer

Process

The interview was rescheduled twice.

It started at 7 PM and lasted 82 minutes.

The interviewer spent:

55 minutes discussing the resume
15 minutes on 2 LeetCode questions
10 minutes on 1 ML coding question

Questions

Lots of open questions regarding 3D object detection.

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Interview Statistics

The following metrics were computed from 12 interview experiences for the TikTok Machine Learning Engineer role in Seattle, Washington.

Success Rate

0%

Pass Rate

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

Experience Rating

Positive42%

Neutral25%

Negative33%

Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in Seattle, Washington.

TikTok Work Experiences

TikTok is a great workplace

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefits

Cons: It is a great working place, and I don't think it has any cons.

TikTok is a great workplace

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefits

Cons: It is a great working place, and I don't think it has any cons.

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 Money, Bad Balance

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: They gave money and hired a lot.

Cons: Culture and work-life balance

Good Money, Bad Balance

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: They gave money and hired a lot.

Cons: Culture and work-life balance

TikTok is a great workplace

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefits

Cons: It is a great working place, and I don't think it has any cons.

5.0
TikTok is a great workplace
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
July 4, 2025
Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefits
Cons: It is a great working place, and I don't think it has any cons.

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 Money, Bad Balance

Machine Learning Engineer • Current Employee

Seattle, Washington, United States

Pros: They gave money and hired a lot.

Cons: Culture and work-life balance

5.0
Good Money, Bad Balance
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
August 3, 2024
Pros: They gave money and hired a lot.
Cons: Culture and 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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