Capital One Machine Learning Development Program Associate interview questions
based on 3 ratings - Updated Aug 21, 2023
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
100%
Applied online
Applied online
Interview search
3 interviews
Capital One interviews FAQs
Machine Learning Development Program Associate applicants have rated the interview process at Capital One with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Development Program Associate roles take an average of 6 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Capital One overall takes an average of 26 days.
Common stages of the interview process at Capital One as a Machine Learning Development Program Associate according to 3 Glassdoor interviews include:
Skills test: 40%
Phone interview: 40%
One on one interview: 20%
Here are the most commonly searched roles for interview reports -
Code Signal Screening Round followed by a series of in person interviews (I have yet to fully complete the process). I will update this post at the end of the process with the results.
I applied online. The process took 2 days. I interviewed at Capital One (New York, NY) in Jan 2023
Interview
Submit your resume then you get a link to do a code signal assessment. There are four questions. First two are easy last two are more difficult. I didn’t get enough questions right so I wasn’t selected to go further in the interview process. You can study by doing code signal practice exams. If they like your resume and you score high enough on code signal exam you get an interview
Interview questions [1]
Question 1
Code signal questions/ leet code easy and medium questions
I applied online. The process took 1+ week. I interviewed at Capital One (McLean, VA) in Feb 2023
Interview
You start the interview off with a phone screen, then an offer to interview. The interview is 3 parts. Case Study, ML Technical skills, then behavioral. All parts were fast and the interviewers were knowledgeable and made the experience enjoyable.
Interview questions [1]
Question 1
How do you know when a model is underfitting/overfitting?