Google Machine Learning Intern interview questions
based on 2 ratings - Updated Dec 30, 2023
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
50%
Employee Referral
Employee Referral
50%
Applied online
Applied online
Interview search
2 interviews
Google interviews FAQs
Machine Learning Intern applicants have rated the interview process at Google with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 61.5% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Google as a Machine Learning Intern according to 2 Glassdoor interviews include:
One on one interview: 33%
Other: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
A online applications then technical interview where a recruiter and team member led me through some problems. I chose Python but you can choose another language if you wish or are more comfortable with another one
I applied through an employee referral. I interviewed at Google in Dec 2019
Interview
No coding interview. Two rounds research interviews back to back, 45 mins each. They go into details of projects you did before. I interviewed in December and heard back about 1-2 months later. The recruiters are nice and interviewers are friendly.