Machine Learning Interview Experience - San Diego, California
January 10, 2024
Neutral ExperienceNo Offer
Process
The first round was not too bad; I was asked a BFS question.
I did not make it past the first round, as it was my first coding interview ever and I froze.
Live coding was intimidating.
Questions
I can't remember the question...
It's similar to an island problem on LeetCode.
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Interview Statistics
The following metrics were computed from 1 interview experience for the TikTok Machine Learning role in San Diego, California.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning roles in San Diego, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for TikTok's Machine Learning interview process in San Diego, California.
TikTok Work Experiences
5.0
Friendly Team, Want Bigger Projects
Machine Learning • Current Employee
September 19, 2023
Pros: Access to relevant knowledge on the application of data science in AI.
There is a good working environment, and people are very friendly and help each other like classmates. You can learn and improve through work communication with colleagues.
Cons: Looking forward to the opportunity to participate in a more complete project content and enhance my knowledge application in the field of data science.
4.0
New Accounts, Much More Work
Machine Learning • Former Employee
July 23, 2022
Pros: Just to apply for the new account.
Cons: I still have a lot of things to do.
2.0
Great Pay, Late Nights
Machine Learning • Current Employee
San Jose, California, United States
February 26, 2025
Pros: Some good things: great pay & benefits.
Cons: Late night meetings and a lot of work.
- 5.0Friendly Team, Want Bigger ProjectsMachine Learning • Current EmployeeSeptember 19, 2023Pros: Access to relevant knowledge on the application of data science in AI. There is a good working environment, and people are very friendly and help each other like classmates. You can learn and improve through work communication with colleagues.Cons: Looking forward to the opportunity to participate in a more complete project content and enhance my knowledge application in the field of data science.
- 4.0New Accounts, Much More WorkMachine Learning • Former EmployeeJuly 23, 2022Pros: Just to apply for the new account.Cons: I still have a lot of things to do.
- 2.0Great Pay, Late NightsMachine Learning • Current EmployeeSan Jose, California, United StatesFebruary 26, 2025Pros: Some good things: great pay & benefits.Cons: Late night meetings and a lot of work.
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