Expedia Group Machine Learning Engineer interview questions
Updated Apr 9, 2026
based on 15 ratings
Difficulty
Average
Experience
Mixed
How others got an interview
56%
Applied online
Applied online
22%
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Recruiter
11%
Employee Referral
Employee Referral
11%
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In Person
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15 interviews
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Machine Learning Engineer applicants have rated the interview process at Expedia Group 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 58.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 60 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Expedia Group overall takes an average of 39 days.
Common stages of the interview process at Expedia Group as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
1 with HR, 1 with HM, 1 with Director, 1 Super Day
They asked some behavioral questions, live coding, basic machine learning knowledge. Enevn there are some system design problems
Interview questions [1]
Question 1
Give a scenario that the project requirement is ambiguous, how do you deal with it
Terrible first one - you have to do a proctored exam about tech trivia with an extremely invasive Chrome extension. It's clear the interviewers haven't put much thought into vetting candidates. Can't use your IDE.
Interview questions [1]
Question 1
Stuff about Spark, Kinesis, SQL, Tensorflow, PyTorch
I applied online. I interviewed at Expedia Group in Oct 2022
Interview
Their team reached out and asked to apply for the position. I had two rounds, a behavioral round, and a technical round. The first is a behavioral round to check the general work approach of the applicants. Once cleared the first round, they asked for a second interview to know the technical skills required for the work.