Google Senior Machine Learning Engineer interview questions
Updated 7 Feb 2026
based on 5 ratings
Difficulty
Difficult
Experience
Mostly positive
How others got an interview
50%
Recruiter
Recruiter
50%
Applied online
Applied online
Interview search
5 interviews
Google interviews FAQs
Senior Machine Learning Engineer applicants have rated the interview process at Google with 4 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 74.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Machine Learning Engineer roles take an average of 30 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 30 days.
Common stages of the interview process at Google as a Senior Machine Learning Engineer according to 2 Glassdoor interviews include:
One on one interview: 100%
Here are the most commonly searched roles for interview reports -
They asked in a live coding to create a program in python that returns the indexes in a array of the num I passed as parameter. I passed it and was able to submit right answee
Interview questions [1]
Question 1
Salary expectation
Difference between ML and AI
Difference between playwright and Cypress
Interview was ok, i cleared 2nd round but not able to solve one hard DSA in third round so didn't qualified for further round. Overall it was good experience and this is my first try with minimum preparation, I am going to prepare properly and apply again.
I applied through a recruiter. The process took 4 weeks. I interviewed at Google (Bengaluru) in Mar 2024
Interview
5 rounds:
2 ML Coding: focussed on NLP due to my profile
1 Coding: LeetCode
1 ML System Design: Again NLP for me
1 Leadership: Managerial
Details about questions below
Interview questions [1]
Question 1
Normal LeetCode Coding questions
Implement a tokenizer
Design a QA system