Machine Learning Engineer Interview Experience - San Jose, California
October 1, 2022
Positive ExperienceNo Offer
Process
I applied via their careers site and was invited for a HackerRank online assessment.
It consisted of 5 questions:
- Two multiple-choice questions.
- One medium coding question (Data Structures).
- Two hard dynamic programming questions.
I was unable to pass the test cases for the hard questions due to hidden edge cases.
Questions
Data Structures and Dynamic Programming
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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.
4.0
Fast Learning, Challenging Wlb
Machine Learning Engineer • Current Employee
San Jose, California, United States
August 29, 2025
Pros: Learn a lot, very fast-paced.
Cons: Bad work-life balance and lack of organization.
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.
- 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.
- 4.0Fast Learning, Challenging WlbMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesAugust 29, 2025Pros: Learn a lot, very fast-paced.Cons: Bad work-life balance and lack of organization.
- 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.
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