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 -
Technique questions about the algorithms, data structure and machine learning knowledge. Then ask the project experience. It is not easy and not hard. But make sure you are familiar with all these staffs. They will hint you too.
Interview questions [1]
Question 1
Technique questions about machine learning training and testing, data preparing
I applied online. I interviewed at LinkedIn (Bengaluru) in Apr 2021
Interview
There were six rounds of interviews in total. The first was to test your understanding of basic machine learning algorithms. There was only one DSA round, and the rest was all about machine learning and design.
Interview questions [1]
Question 1
Create an algorithm to display job postings to persons in the same city based on their previous activities.
I applied through a recruiter. The process took 3 months. I interviewed at LinkedIn in Mar 2022
Interview
5 part interview process, 5 hrs of interviews. Fair, but perhaps its better to ask to schedule the technical coding challenges as the first 2 interviews. Otherwise your might not be fresh for the coding challenge later in the day.
Interview questions [1]
Question 1
Your preparation should be comprehensive. They will ask you everything.