Ntropy Machine Learning Engineer interview questions

Sad to say that I totally agree with the other review written here. The process start randomly after you apply, when you receive an email asking to complete a take-home project in a week time after you get it (no asking of your availability nor allowing you to discuss the role/fit beforehand). Once you send back your take-home, they may or may not offer you a technical interview, during which the work you have done will NOT be discussed. Also good to know before you apply: the take-home exercise instructions they send you explicitly say that part of your work may end up in their production code; at least they are not hiding this could be volunteer work. Now to the interview: interviewer was very late, focused on minutia, asked a bunch of flashcard questions where the speed of your answer is more important than its actual content. Overall, felt like a management consulting/banking interview. They refused to discuss compensation, saying it is based on "interview performance". I got a rebuttal email a couple days after the interview, which was basically grading my skills one by one; this felt a bit weird and patronizing, especially since I thought I was taking a job interview, and not going through a roasting standup comedy show nor visiting a shrink for an evaluation. Bonus sample: interviewer seemed 100% sure L2 norm was much better than Euclidean; did not seem to know they both use the same formula. Overall: I feel a bit stupid to have taken the take-home exercise to begin with, since many red flags were raised already. This company wants to play in the major league, but ends up merely being patronizing.