Machine Learning Engineer Interview Experience - Australia
April 1, 2025
Positive ExperienceGot Offer
Process
The interview process will include 3 rounds of technical interviews.
Each round will feature a LeetCode problem.
The interviewer also asked about research projects and basic knowledge of ML and LLM.
Each round will be 45 minutes long.
Questions
One LeetCode problem about sliding window and one LeetCode problem about DFS/BFS on a matrix.
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Interview Statistics
The following metrics were computed from 6 interview experiences for the TikTok Machine Learning Engineer role in Australia.
Success Rate
17%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in Australia is very selective, failing most engineers who go through it.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for TikTok's Machine Learning Engineer interview process in Australia.
TikTok Work Experiences
3.0
Travel, Workload, Chinese Essential
Machine Learning Engineer • Current Employee
Vancouver, British Columbia, Canada
August 15, 2025
Pros: Travel a lot (if you like).
Huge scope for new grads (I think only TikTok dares to do this).
Cons: If you don't speak Chinese, run away.
Crazy workload.
2.0
Brilliant Colleagues, Poor Balance
Machine Learning Engineer • Current Employee
October 30, 2022
Pros: best colleagues who are brilliant
Cons: Not enough money, no work-life balance.
4.0
Good Team, Late Nights
Machine Learning Engineer • Current Employee
San Jose, California, United States
May 18, 2024
Pros: Good teamwork, diversity, and food.
Cons: Works too late into the night
- 3.0Travel, Workload, Chinese EssentialMachine Learning Engineer • Current EmployeeVancouver, British Columbia, CanadaAugust 15, 2025Pros: Travel a lot (if you like). Huge scope for new grads (I think only TikTok dares to do this).Cons: If you don't speak Chinese, run away. Crazy workload.
- 2.0Brilliant Colleagues, Poor BalanceMachine Learning Engineer • Current EmployeeOctober 30, 2022Pros: best colleagues who are brilliantCons: Not enough money, no work-life balance.
- 4.0Good Team, Late NightsMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesMay 18, 2024Pros: Good teamwork, diversity, and food.Cons: Works too late into the night
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