Machine Learning Engineer 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 100% positive. To compare, the company-average is 72% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at LinkedIn overall takes an average of 38 days.
Common stages of the interview process at LinkedIn as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 50%
Presentation: 50%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at LinkedIn in Nov 2017
Interview
Recruiter phone screen + tech phone interview and should have a four round onsite. Recruiter was nice but the interviewer was hard to communicate. The questions were not well explained and very confusing.
I applied through an employee referral. The process took 2 weeks. I interviewed at LinkedIn (Sunnyvale, CA) in Feb 2018
Interview
Got a phone interview through employee referral. Interviewer asked a number of questions about different ML algorithms, asked me about my previous projects, and ended with a simple software engineering question. Did not receive offer for onsite interview because they did not think I had enough experience for the role.
Interview questions [1]
Question 1
Describe various ML algorithms, their suitability in different situations, etc.
I applied through a recruiter. The process took 4 weeks. I interviewed at LinkedIn
Interview
Contacted by a Linkedin recruiter
One round of phone interview with recruiter
One round of technical phone interview
Five rounds of onsite interviews with six interviewers:
HR, Coding with Leetcode medium, ML, Data coding