LinkedIn Machine Learning Engineer interview questions

Applied through a referral. Was contacted by a recruiter and then did a phone screen with some senior data scientist. Got asked leetcode hard, my PhD projects, some statistics such as distributions, Bayesian formula type of questions (actual math). Didn't make it to the final onsite. I answered all questions in 57 min and to my surprise in the last 3 min, got asked to compute conditional probability using Bayesian question (provided false positive, false negative, etc.) that needed me to put some numbers in the formula and solve it in just couple minutes. Most companies allow their applicants to ask some questions in the last 5 min though.

Phone screen then onsite, recruiters were responsive and friendly. Phone screen had 1 coding question then a long discussion about my experience. Onsite was 6 modules, 2 coding, 1 talk with an engineer over lunch, 1 talk with a hiring manager (not necessarily the one hiring) about experience, 1 round with an open ended discussion about a practical ML problem, then another one with a lot of theory trivia (this was kind of hard, I didn't prep enough and was fumbling to prove a bunch of theorems on the spot) + another ML design problem. Interestingly, unlike what it seemed like the recruiters were trying to say, I was not tested on any sort of practical pandas/R/numpy/spark knowledge. Though I was applying for the senior level role, the questions were surprisingly textbook. They said I was close but decided to not extend an offer.