During my interview for a machine learning engineer position, the experience felt more like an interrogation than a collaborative discussion.
The interviewer appeared impatient, rushing through my responses without acknowledging my thought process or asking clarifying questions.
When I hit a roadblock on one of the algorithmic problems, they offered no hints or guidance, leaving me to stumble through alone, even as I attempted to explain my reasoning.
The atmosphere was tense, and there was no sense of a two-way dialogue; my questions about the company's projects and team were brushed off with curt, generic answers.
It felt more like I was being judged on my ability to endure stress rather than on my problem-solving skills or potential to contribute meaningfully to the role.
This one-sided interaction left me questioning whether the company valued collaboration and mentorship.
A Leetcode dynamic programming question.
The following metrics were computed from 29 interview experiences for the TikTok Machine Learning Engineer role in San Jose, California.
TikTok's interview process for their Machine Learning Engineer roles in San Jose, California is very selective, failing most engineers who go through it.
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in San Jose, California.