Meta Machine Learning Engineer interview questions

2 Leetcode medium-level questions. No machine learning, all software engineering. The interviewer copy/pasted the questions, and wasn't really helpful in the process. They also asked about Big-O run times of the solutions I wrote.

The process is very structured and well-documented. Call with an HR -> code pre-screening (45 min leet-code style interview) -> 4 panel interviews (2 leet-code coding interview, ML design, behaviour interview). For ML design preparation the best source is Grokking ML design interview preparation course. Behaviour interview is also a very formalised one, the guide in Cracking the Code Interview is a good one. I haven't reached the bar specifically on the coding interviews, unfortunately. A lot have been argued about the relevance of leet-code style interviews, for ML engineers I found them especially far from the real experience but these are the rules of the game. If you are really motivated to land a job there - practice leetcode until you lose your will to live and a bit more. It has nothing to do with your normal software development experience as an ML engineer but this is a special dance you are required to master if you want to work there. The process itself was organised in a good way, scheduling, career portal, can't complain about them.