J'ai postulé en ligne. J'ai passé un entretien chez LinkedIn en janv. 2021
Entretien
Phone screen then onsite.
Phone screen: 1 coding question and 1 question regarding precision/recall.
Onsite (6 rounds): 2 coding, 1 product design, 1 ML theory, 1 lunch, 1 behavioral.
They asked a lot of questions in ML theory round.
Recruiter's feedback: 1. I could not answer "what is '1' in F1 measure?" 2. I just describe superficially. Actually, I started thorough descriptions at the very beginning but the interviewer stopped me.
Seemingly, the interviewers are biased toward people from Statistics or a certain country.
J'ai postulé via un recruteur. Le processus a pris 5 jours. J'ai passé un entretien chez LinkedIn (Mountain View, CA) en juill. 2019
Entretien
Phone interview: 1 coding questions followed by 1 machine learning related question
The interviewer started with a self introduction and ask me some behavior questions about what my daily routine is and why interested in working in linkedin.
Then we started the coding question using Skype pad for about 20 minutes. After I finished it, he asked me to do some unit testing to cover each edge case.
Then we went through the machine learning related questions for about 20 minutes.
Questions d'entretien [2]
Question 1
Machine learning related question:
The company currently have: 1. user profiles 2. a list of job each user applied 3. job profiles
question: how to build a job recommendation system using these information?
Coding question:
Given a 2d grid map of '1's (land) and '0's (water), count the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water
J'ai postulé via un recruteur. J'ai passé un entretien chez LinkedIn (Mountain View, CA)
Entretien
Got opportunity via recruiter. There was a tech screen followed by Onsite.
Tech Screen included background questions, experience questions as well as coding on collabedit space.
The interviewer was helpful and gave prompts for answering the question.
Was expected to give executable code with no syntax errors.
Questions d'entretien [1]
Question 1
write a function to sample from a multinomial distribution