Visa Inc. Sr. Machine Learning Engineer interview questions
based on 2 ratings - Updated May 4, 2025
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Visa Inc. interviews FAQs
Sr. Machine Learning Engineer applicants have rated the interview process at Visa Inc. with 3.5 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 50.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Sr. 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 Visa Inc. overall takes an average of 33 days.
Common stages of the interview process at Visa Inc. as a Sr. Machine Learning Engineer according to 2 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
1st - phone screen
CodeSignal coding assessment
The 2nd round was split into two parts, one with the hiring manager and the other with the ML guy. The hm went too much in detail about my work exp, which was like technical; it was said it was going to be behavioral. they also sent me the leadership principles, but there were no behavioral-based ones, and the other guy was pretty chill. it was supposed to be DSA coding but he just asked me a few questions and to explain about any project i did end-to-end. Although I couldn't clear this round.
I applied through a recruiter. The process took 4 weeks. I interviewed at Visa Inc. (Austin, TX) in Oct 2024
Interview
There were 5 rounds in total. The first one was on CodeSignal, which had 4 leetcode medium kind of questions. And the rest 3 rounds were data structures questions. One round with HM was behavioral and one with senior team member which was an API design round.
Interview questions [1]
Question 1
Explain a challenge that you faced and how did you overcome it?