I applied through an employee referral. The process took 1 day. I interviewed at LinkedIn (Sunnyvale, CA) in Nov 2016
Interview
The screening for relevance team is 60 minutes. Half an hour answering questions regarding machine learning questions. This could include any machine learning techniques or terms. They would start asking you to talk about one related project and as you describe it further, they want you to dig deeper into its technical aspects. From then on, a lot of random machine learning jargon come up and you better have much deeper knowledge about them than just the concept.
The second half an hour is a coding problem using the language of your choice. I found out preparing the LeetCode questions could be very helpful to answer such screening!
Interview questions [1]
Question 1
Talk about SVM, overfitting, classification methods?
Also, a coding question to use binary search in a sorted array!
I applied online. I interviewed at LinkedIn in Jan 2021
Interview
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.
I applied through a recruiter. The process took 5 days. I interviewed at LinkedIn (Mountain View, CA) in Jul 2019
Interview
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.
Interview questions [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
I applied through a recruiter. I interviewed at LinkedIn (Mountain View, CA)
Interview
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.
Interview questions [1]
Question 1
write a function to sample from a multinomial distribution
