Machine Learning Engineer Interview Experience
September 1, 2021
Neutral ExperienceNo Offer
Process
I had four interviews:
- One general machine learning interview
- One behavioral
- One product
- One programming
To succeed at the product interview, you need to study Capital One's current products that use AI, as the question will be related.
Questions
Was asked to implement an efficient prime number sieve.
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Interview Statistics
The following metrics were computed from 16 interview experiences for the Capital One Machine Learning Engineer role in United States.
Success Rate
6%
Pass Rate
Capital One's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral31%
Negative19%
Candidates reported having very good feelings for Capital One's Machine Learning Engineer interview process in United States.
Capital One Work Experiences
3.0
Chill People, Boring Work
Machine Learning Engineer • Current Employee
New York, New York, United States
May 24, 2024
Pros: Chill.
Easy.
Cool and nice people.
Cons: Boring.
Management isn’t the best.
3.0
What is this?
Machine Learning Engineer • Current Employee
Chicago, Illinois, United States
June 15, 2021
Pros: WLB is okay. The technical stack is pretty new in the banking industry.
Cons: Total compensation is too low.
5.0
Good work/life balance
Machine Learning Engineer • Current Employee
New York, New York, United States
April 7, 2022
Pros: Tech-savvy, work-life balance, good culture, emphasis on learning and growth.
Cons: Has some amount of large company bureaucracy.
- 3.0Chill People, Boring WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesMay 24, 2024Pros: Chill. Easy. Cool and nice people.Cons: Boring. Management isn’t the best.
- 3.0What is this?Machine Learning Engineer • Current EmployeeChicago, Illinois, United StatesJune 15, 2021Pros: WLB is okay. The technical stack is pretty new in the banking industry.Cons: Total compensation is too low.
- 5.0Good work/life balanceMachine Learning Engineer • Current EmployeeNew York, New York, United StatesApril 7, 2022Pros: Tech-savvy, work-life balance, good culture, emphasis on learning and growth.Cons: Has some amount of large company bureaucracy.
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