TikTok

Machine Learning Engineer Interview Experience - Remote

November 1, 2022

Negative ExperienceNo Offer

Process

Online assessment for the first step of the hiring process. The provided helper code had errors that needed fixing before any testing could be done, which reduced the time allocated to actually solving the problems.

Questions

2 MCQ and 3 Medium to Hard LeetCode-style problems.

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Interview Statistics

The following metrics were computed from 1 interview experience for the TikTok Machine Learning Engineer role in Remote.

Success Rate

0%

Pass Rate

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

Experience Rating

Positive0%

Neutral0%

Negative100%

Candidates reported having very negative feelings for TikTok's Machine Learning Engineer interview process in Remote.

TikTok Work Experiences

Brilliant Colleagues, Great Balance

Machine Learning Engineer • Former Employee

Singapore, Singapore

Pros: Nice and brilliant colleague, work-life balance.

Cons: Nothing can be thought of for now.

Brilliant Colleagues, Great Balance

Machine Learning Engineer • Former Employee

Singapore, Singapore

Pros: Nice and brilliant colleague, work-life balance.

Cons: Nothing can be thought of for now.

Bad leadership and junior management

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: * Name of the company * Compensation is not bad when you join

Cons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing. Worst infrastructure I have ever seen; very unstable. Junior management. Most mid-level leaders have no idea how a normal company looks. Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure. RSUs have limited buyback, which makes the total compensation not as high as it looks. If you don't speak Chinese, you are definitely marginalized.

Bad leadership and junior management

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: * Name of the company * Compensation is not bad when you join

Cons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing. Worst infrastructure I have ever seen; very unstable. Junior management. Most mid-level leaders have no idea how a normal company looks. Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure. RSUs have limited buyback, which makes the total compensation not as high as it looks. If you don't speak Chinese, you are definitely marginalized.

Great Work-life Balance, Long Commute

Machine Learning Engineer • Current Employee

Singapore, Singapore

October 28, 2024

Pros: Good environment. Work-life balance.

Cons: Long distance to go to company.

Great Work-life Balance, Long Commute

Machine Learning Engineer • Current Employee

Singapore, Singapore

October 28, 2024

Pros: Good environment. Work-life balance.

Cons: Long distance to go to company.

Brilliant Colleagues, Great Balance

Machine Learning Engineer • Former Employee

Singapore, Singapore

Pros: Nice and brilliant colleague, work-life balance.

Cons: Nothing can be thought of for now.

5.0
Brilliant Colleagues, Great Balance
Machine Learning Engineer • Former Employee
Singapore, Singapore
June 20, 2024
Pros: Nice and brilliant colleague, work-life balance.
Cons: Nothing can be thought of for now.

Bad leadership and junior management

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: * Name of the company * Compensation is not bad when you join

Cons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing. Worst infrastructure I have ever seen; very unstable. Junior management. Most mid-level leaders have no idea how a normal company looks. Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure. RSUs have limited buyback, which makes the total compensation not as high as it looks. If you don't speak Chinese, you are definitely marginalized.

1.0
Bad leadership and junior management
Machine Learning Engineer • Current Employee
Singapore, Singapore
June 29, 2025
Pros: * Name of the company * Compensation is not bad when you join
Cons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing. Worst infrastructure I have ever seen; very unstable. Junior management. Most mid-level leaders have no idea how a normal company looks. Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure. RSUs have limited buyback, which makes the total compensation not as high as it looks. If you don't speak Chinese, you are definitely marginalized.

Great Work-life Balance, Long Commute

Machine Learning Engineer • Current Employee

Singapore, Singapore

October 28, 2024

Pros: Good environment. Work-life balance.

Cons: Long distance to go to company.

5.0
Great Work-life Balance, Long Commute
Machine Learning Engineer • Current Employee
Singapore, Singapore
October 28, 2024
Pros: Good environment. Work-life balance.
Cons: Long distance to go to company.

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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