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.
Started with a recruiter screen with simple checks. Then went through 3 rounds of interviews. First 2 rounds were live coding with deep dive on previous projects. 2nd round went really deep of every previous work I did from MLE perspective with being questioned of every possible decision choice. Last was interview with team manager.
Preguntas de entrevista [1]
Pregunta 1
Recommendation system questions. Coding problems were I remember leetcode medium level.
three rounds, each has coding + ml basic + resume related questions
understand all the details in resume is important, since might go very deep down the project you have worked on
The first round was mainly a CV walkthrough.
The second round focused in depth on one specific project.
Both rounds also included LeetCode medium-level problems.
The third round was with the hiring manager with both project and problems for their business.