Machine Learning Engineer Interview Experience - Tysons Corner, Virginia
December 1, 2017
Positive ExperienceNo Offer
Process
Interviewed for an ML engineer role at C4ML in Virginia.
I had a 1-hour technical phone interview, followed by an on-site interview.
The on-site interview consisted of four sessions:
- ML: Basic ML questions around my PhD research (applied ML).
- Behavioral: Describe a situation when you had to do X.
- Coding: A standard whiteboard session.
- Case Study: Discuss and design encryption.
Questions
How do you keep current with new technology?
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Capital One Machine Learning Engineer role in Tysons Corner, Virginia.
Success Rate
50%
Pass Rate
Capital One's interview process for their Machine Learning Engineer roles in Tysons Corner, Virginia is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Capital One's Machine Learning Engineer interview process in Tysons Corner, Virginia.
Capital One Work Experiences
5.0
Good, But Compensation Okay
Machine Learning Engineer • Current Employee
Plano, Texas, United States
May 5, 2022
Pros: Randomly good. I wanted to say good, just good. Stupid Glassdoor.
Cons: Overall, it is okay, comp.
4.0
Fun Work, But Red Tape
Machine Learning Engineer • Current Employee
Boston, Massachusetts, United States
February 28, 2023
Pros: Had a fun time working on interesting things.
Cons: Lots of red tape involved in finance and constant changes in orgs.
5.0
Incredible place to work
Machine Learning Engineer • Current Employee
New York, New York, United States
January 10, 2024
Pros: Work-life balance, the nicest people, great work.
Cons: Honestly, the best place to work.
- 5.0Good, But Compensation OkayMachine Learning Engineer • Current EmployeePlano, Texas, United StatesMay 5, 2022Pros: Randomly good. I wanted to say good, just good. Stupid Glassdoor.Cons: Overall, it is okay, comp.
- 4.0Fun Work, But Red TapeMachine Learning Engineer • Current EmployeeBoston, Massachusetts, United StatesFebruary 28, 2023Pros: Had a fun time working on interesting things.Cons: Lots of red tape involved in finance and constant changes in orgs.
- 5.0Incredible place to workMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJanuary 10, 2024Pros: Work-life balance, the nicest people, great work.Cons: Honestly, the best place to work.
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