Machine Learning Engineer Interview Experience - San Jose, California
October 10, 2024
Neutral ExperienceNo Offer
Process
First technical round with the interviewer from the team you are interviewing.
It takes a long time for them to come back with a decision, but they schedule two rounds at the same time.
Questions
Explain 2 ML projects (semi-deep dive into them).
Easy LeetCode question from TikTok tagged 6 months ago.
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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
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.
5.0
Great Team, Tough Pressures
Machine Learning Engineer • Current Employee
San Jose, California, United States
February 27, 2025
Pros: Team is great, strong management, and very interesting technical problems.
Cons: Concerns with governmental pressures.
4.0
A place where your work makes a real impact
Machine Learning Engineer • Former Employee
San Jose, California, United States
August 26, 2025
Pros: With a large user base and a small team, your work can make a real impact.
Cons: Not so much guidance.
Offices are located across the globe, and they work across different time zones.
- 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.
- 5.0Great Team, Tough PressuresMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesFebruary 27, 2025Pros: Team is great, strong management, and very interesting technical problems.Cons: Concerns with governmental pressures.
- 4.0A place where your work makes a real impactMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesAugust 26, 2025Pros: With a large user base and a small team, your work can make a real impact.Cons: Not so much guidance. Offices are located across the globe, and they work across different time zones.
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