Machine Learning Intern applicants have rated the interview process at LinkedIn with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 71% positive. To compare, the company-average is 54.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Intern roles take an average of 28 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at LinkedIn overall takes an average of 28 days.
Common stages of the interview process at LinkedIn as a Machine Learning Intern according to 7 Glassdoor interviews include:
Phone interview: 40%
One on one interview: 20%
Skills test: 20%
Presentation: 10%
Other: 10%
Here are the most commonly searched roles for interview reports -
Two phone interviews, every interview has two problems. After that I just received a team match. And there’s a manager contacted me. Finally I passed the team match and my hr told I got the offer
I applied through a recruiter. I interviewed at LinkedIn
Interview
The total process contain one 45 min hm interview, one 1h tech interview. the tech intewview includes one coding problem (25min) and about 25 min machine learning basic questions. And 5 min for introduction and 5 min for questions.
Interview questions [1]
Question 1
like talk about some adaptive learning rate methods
I applied through a recruiter. I interviewed at LinkedIn (Sunnyvale, CA)
Interview
Very organized. It started with a phone screening, which was just an overview of my past skills. Then, there was a coding assessment. Lastly, there is a two-hour interview. The first half is behavioral, and the second half is technical.
An online coding assessment, followed by a phone screen with recruiter, then a 2 hour final interview with engineering. Final interview was 1 hour of behavioral and background with one manager, then technical questions with another.