I applied through a recruiter. I interviewed at Capital One in May 2026
Interview
Applied online, after passing OA had a powerday with four one-hour rounds. The recruiter set expectations a week beforehand and gave me adequate material to prepare.
The question bank seemed rigidly defined in advance, but my interviewers seemed very smart and very nice. I'd be happy to work alongside them.
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Other Lead Machine Learning Engineer interview reviews for Capital One
I applied online. The process took 2 weeks. I interviewed at Capital One (New York, NY) in Jun 2022
Interview
The code assessment has 4 questions, answering 2 was sufficient to proceed to next round.
The coding questions are exactly what is mentioned on Glassdoor.
However, other technical questions were somewhat open-ended, and seems like my answers were not what they were looking for.
Interview questions [1]
Question 1
1st round: 4 leet-code style questions on CodeSignal. 2 easy, 2 medium/hard.
2nd round: 4 interviews in total
a. ML job fit interview: was asked about some ML basics such as bias/variance tradeoff, how to deploy models, reduce latency during inference
b. ML job fit interview: One coding question (find number of primes until N), and some questions about ML model deployment.
c. Case Study: simple quantitative analysis of cost-benefit analysis about simple vs rigorous testing of software release cycles.
d. Behavioral: 3 questions about past experience
- describe a challenging situation you encountered
- describe a time when you had to prioritize one task over another
- describe when you changed status quo