Computer Vision Engineer (L5) Interview Experience

I went through my past experience project by project and focused on what I had delivered and the impact. The tone of that round was very much about whether I had actually done the work and could speak concretely about it, not just give a high-level summary.

I treated it like an AI-flavored coding problem rather than a standard data structures one. The notable part was that I had to code it efficiently under pressure, knowing they wanted multiple questions in the same round.

Again, I approached it as a data-processing and math-heavy coding prompt. What stood out was less the exact algorithm and more that this round clearly tested whether I could handle AI-style coding fast, not just do generic interview problems.

What's the general idea for the third question?

In one of the coding interviews, they were pushing on pace enough that for the third question the interviewer just asked me for the general idea instead of having me fully code it. That gives you a sense of how compressed and speed-focused these rounds were.

How would you approach depth from a single image?

I walked through my idea and then went back and forth with the interviewer on it. It was a modeling discussion with nuance and pushback rather than a generic open-ended design chat.

I had to think about it as more than just the algorithm. I tried to balance the algorithmic piece with data collection and production handling, and that was what made the round challenging because they were clearly looking for a full end-to-end design, not just one strong technical slice.