Machine Learning Engineer Interview Experience - San Jose, California
March 31, 2025
Negative ExperienceNo Offer
Process
There are 3 rounds.
Each round has 30 minutes of LeetCode and 30 minutes of ML/DL questions.
The first two rounds are with the team, and the third round is with the hiring manager.
Questions
Explain my work experience and delve into details of ML/DL concepts.
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Interview Statistics
The following metrics were computed from 29 interview experiences for the TikTok Machine Learning Engineer role in San Jose, California.
Success Rate
24%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in San Jose, California is very selective, failing most engineers who go through it.
Experience Rating
Positive31%
Neutral48%
Negative21%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in San Jose, California.
TikTok Work Experiences
2.0
Good for new grads, but worst culture
Machine Learning Engineer • Current Employee
San Jose, California, United States
November 14, 2024
Pros: You will learn rocket-fast because you are always pushed by overloaded tasks. A fresh NG will handle several senior-level jobs under limited guidance.
Cons: 0 work-life balance. Work, work, work if you are a Chinese speaker. You will be working with people in China during the night for sure.
But for non-Chinese speakers, your life will be much better because the leadership will have 0 expectations from you. You can basically chill all day.
3.0
Machine Learning Engineer 2-1
Machine Learning Engineer • Former Employee
San Jose, California, United States
March 26, 2024
Pros: 25% target bonus, which is higher than average.
Cons: Work-life balance is not great.
3.0
Bad work-life balance
Machine Learning Engineer • Current Employee
San Jose, California, United States
January 23, 2025
Pros: Learned a lot.
Good compensation.
Allows you a lot of work travel flexibility.
Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged.
There is no support for new employees. The onboarding process has very little structure.
- 2.0Good for new grads, but worst cultureMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesNovember 14, 2024Pros: You will learn rocket-fast because you are always pushed by overloaded tasks. A fresh NG will handle several senior-level jobs under limited guidance.Cons: 0 work-life balance. Work, work, work if you are a Chinese speaker. You will be working with people in China during the night for sure. But for non-Chinese speakers, your life will be much better because the leadership will have 0 expectations from you. You can basically chill all day.
- 3.0Machine Learning Engineer 2-1Machine Learning Engineer • Former EmployeeSan Jose, California, United StatesMarch 26, 2024Pros: 25% target bonus, which is higher than average.Cons: Work-life balance is not great.
- 3.0Bad work-life balanceMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesJanuary 23, 2025Pros: Learned a lot. Good compensation. Allows you a lot of work travel flexibility.Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged. There is no support for new employees. The onboarding process has very little structure.
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