J'ai postulé via un recruteur. Le processus a pris 3 semaines. J'ai passé un entretien chez Netflix (Palo Alto, CA) en mars 2015
Entretien
Phone screen and then four consecutive onsite interviews. The whole process took about 4 hours. All questions were reasonable for the position I was applying for. A few white board programming questions (I chose python but they didn't seem picky about the language), one basic SQL specific question, one question on statistics and A/B testing and one on how to build as special metric (see below). Overall it was a positive experience.
Questions d'entretien [1]
Question 1
How would you build and test a metric to compare two user's ranked lists of movie/tv show preferences?
J'ai postulé via un recruteur. Le processus a pris 1 semaine. J'ai passé un entretien chez Netflix (Los Gatos, CA) en août 2022
Entretien
Recruiter call followed by a technical screen - thiry minutes conversation on metrics and tradeoffs of primary, secondary, guardrail metrics in a causal inference/experimentation setting.
Interviewer was friendly and excellent.
Questions d'entretien [1]
Question 1
Q: Write a method in Python to return the confidence intervals around a mean?
Q: Using SQL return the number of new netflix members in the last 7 days
J'ai postulé via un recruteur. J'ai passé un entretien chez Netflix en avr. 2021
Entretien
Similar to the other posts on no communications. Hiring manager interview asking behavioral questions only. Ended with a super positive note but not any single communication ever since. It's funny because their culture says "extraordinarily candid" and stuff related to giving direct feedbacks but I guess that does not include candidates being interviewed.
Questions d'entretien [1]
Question 1
Normal behavioral questions you'd get elsewhere， what are you looking for, what's your work style, tell me a time you had to disagree with someone
J'ai postulé via un recruteur. J'ai passé un entretien chez Netflix en févr. 2021
Entretien
Interviewed for the Member UI team (product analytics+experimentation). Recruiter chat, followed by Hiring Manager phone screen, then technical phone screen. Virtual onsite #1 had 4 segments: recruiter again, presentation of a take home to 2 data scientists, sql+stats with a data scientist and HM again. finally there's virtual onsite #2 which I did not get to.
I had a positive experience with all the segments except the presentation, which was neutral-to-negative. interviewers were the type who try and figure out how much you don't know rather than how much you do know. towards the end, we were discussing their work experience and one of the interviewers says he had a difficult time during his first few months because a lot is expected. He goes on, "I'm not trying to scare you, but...." That was when I knew I had failed the interview. He obviously didn't think much of me. Wonder what it's like if you work with this guy and happen to not know something. That's probably when the scaring starts. It's true that he has a lot more experience than me but that really left a sour taste. I do not recommend the Member UI team for this reason.
Questions d'entretien [1]
Question 1
A fair bit of statistics in the context of A/B testing... variance, bootstrap, adjusting for covariates, heterogeneous treatment effects.
SQL was not too difficult.
Take home was product analytics and experimentation. You are expected to come up with novel metrics. Be prepared to answer questions about ambiguous results, interactions, etc.
