Process
The interview was straightforward with reasonably easy questions. However, since it was on Zoom, I was not able to answer one or two questions appropriately. In general, they were nice people with a friendly manner.
The first round was a 30-minute phone interview, and the second round, which was originally onsite, switched to Zoom because of COVID-19.
Questions
Mostly related to the deep learning and projects that I worked on.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Capital One Deep Learning Engineer role in United States.
Success Rate
Capital One's interview process for their Deep Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Capital One's Deep Learning Engineer interview process in United States.
Capital One Work Experiences
- 4.0Great Benefits, High TurnoverSoftware Engineer • Current EmployeeRemoteDecember 13, 2022Pros: Work-life balance is phenomenal. Good compensation and general benefits package. PTO policy is incredibly generous (along with other days off/learning days). Great senior leadership.Cons: High turnover. Consistently, work could be more interesting. Culture is team dependent.
- 4.0Good WLB, but fading fastSenior Software Engineer • Current EmployeeNew York, New York, United StatesMay 8, 2023Pros: Good WLB and Tech Stack for a bankCons: Constant reorgs. Management doesn't listen to employee concerns. Fewer people and more tasks lead to worse work-life balance. Stack ranking.
- 5.0Great Benefits, Unrecognized Contract WorkSenior Software Engineer • Current EmployeeRichmond, Virginia, United StatesJanuary 11, 2021Pros: Good employee benefits and packages.Cons: Lots of Indian managers and less recognition for contract employees.
Capital One Interview Questions
