Machine Learning Engineer Interview Experience - New York, New York
January 1, 2022
Neutral ExperienceNo Offer
Process
The first step is an OA with four questions.
The first three are classic LeetCode-style questions. The last one is a question that was probably created for the assignment.
It seems like the examples given and the test cases do not follow the guidelines, though.
Questions
Q: Dynamic programming and array LeetCode questions.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the TikTok Machine Learning Engineer role in New York, New York.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in New York, New York is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in New York, New York.
TikTok Work Experiences
5.0
Competitive but interesting
Machine Learning Engineer • Former Employee
New York, New York, United States
August 27, 2024
Pros: Nice working environment and fine dining.
Cons: competitive atmosphere and difficult tasks
4.0
Fast Growth, Poor Communication
Machine Learning Engineer • Former Employee
November 26, 2025
Pros: Fast-paced company, grown fast.
Cons: Excess cross-functional cooperation leads to low communication effectiveness.
5.0
TikTok is not all bad. It’s highly team dependent
Machine Learning Engineer • Current Employee
Singapore, Singapore
November 14, 2025
Pros: I love my team. I think at TikTok it is very, very team dependent. Some teams are horrible; some are really good. Generally, people are really smart, but some teams can have horrible work cultures, such as micromanaging your time or not respecting your off days, etc. I would say it all depends on your team. If you manage to get into a good team with a good leader, even if the work is tough, it's a lot more manageable.
Cons: The pace is definitely fast, but a good team helps to make it better. My team works hard, but we also respect off days and weekends as much as we can.
- 5.0Competitive but interestingMachine Learning Engineer • Former EmployeeNew York, New York, United StatesAugust 27, 2024Pros: Nice working environment and fine dining.Cons: competitive atmosphere and difficult tasks
- 4.0Fast Growth, Poor CommunicationMachine Learning Engineer • Former EmployeeNovember 26, 2025Pros: Fast-paced company, grown fast.Cons: Excess cross-functional cooperation leads to low communication effectiveness.
- 5.0TikTok is not all bad. It’s highly team dependentMachine Learning Engineer • Current EmployeeSingapore, SingaporeNovember 14, 2025Pros: I love my team. I think at TikTok it is very, very team dependent. Some teams are horrible; some are really good. Generally, people are really smart, but some teams can have horrible work cultures, such as micromanaging your time or not respecting your off days, etc. I would say it all depends on your team. If you manage to get into a good team with a good leader, even if the work is tough, it's a lot more manageable.Cons: The pace is definitely fast, but a good team helps to make it better. My team works hard, but we also respect off days and weekends as much as we can.
TikTok Interview Questions
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