Machine Learning Engineer Interview Experience - San Francisco, California
Process
I applied online. The process took 3 days.
Online technical assessment with 4 questions. Had to screenshare and record myself so they could verify that there was nobody else in the room and that I wasn't using external resources.
Questions
One of the questions was a stateful bit manipulation question. You were given an input binary array and a list of commands that either:
- Converted the leftmost bit to 1
- Turned a bit at a specified index to 0 Your goal was to execute the commands in sequence.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Capital One Machine Learning Engineer role in San Francisco, California.
Success Rate
Capital One's interview process for their Machine Learning Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Capital One's Machine Learning Engineer interview process in San Francisco, California.
Capital One Work Experiences
- 5.0Machine learning is greatMachine Learning Engineer • Current EmployeeMcLean, Virginia, United StatesOctober 28, 2021Pros: Very flexible to learn a new skill.Cons: Not so flexible work timings.
- 3.0Good work-life balance if you don't care about promotionMachine Learning Engineer • Current EmployeeFebruary 2, 2023Pros: Good work-life balance if you don't care about promotion. Good benefits. Flexible back-to-office policy.Cons: Performance review every 6 months. They only care about 5% of the top performers, which makes the competition very cruel if you want to stay and grow. Very high turnover, even in the current job market.
- 4.0MLE at Capital OneMachine Learning Engineer • Former EmployeeFebruary 25, 2024Pros: Great training, cross-functional collaboration, diverse projects, end-to-end ownership.Cons: Tech resource limitation, long-term vs. short-term planning.
Capital One Interview Questions
