Machine Learning Engineer Interview Experience - United States
February 7, 2019
Positive ExperienceGot Offer
Process
I handed in my résumé at a university career fair. After passing a coding phone screen, I was invited onsite.
The onsite interview had three rounds. Each round lasted half an hour.
I received an offer in two days.
Questions
Design a machine learning pipeline that distinguishes high-value customers.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Coupang Machine Learning Engineer role in United States.
Success Rate
50%
Pass Rate
Coupang's interview process for their Machine Learning Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Coupang's Machine Learning Engineer interview process in United States.
Coupang Work Experiences
4.0
The work offers many learning opportunities that help with professional growth.
Machine Learning Engineer • Current Employee
Seoul, South Korea
March 23, 2025
Pros: You can be recognized for the amount of effort you put in.
The salary level is quite satisfactory.
Cons: The slightly siloed structure can make collaboration a bit difficult at times.
You may often feel that business teams take priority over development teams.
Robust security measures make development more difficult. (This has pros and cons, but for me, it's a drawback.)
3.0
toxic environment
Machine Learning Engineer • Current Employee
Seoul
January 22, 2025
Pros: can learn quickly. Tech stack is advanced
Cons: leadership push employees to the extreme
5.0
Good company
Machine Learning Engineer • Current Employee
Mountain View, CA
October 22, 2024
Pros: the company pays well per industry standards
Cons: Work life balance may be a bit bad.
- 4.0The work offers many learning opportunities that help with professional growth.Machine Learning Engineer • Current EmployeeSeoul, South KoreaMarch 23, 2025Pros: You can be recognized for the amount of effort you put in. The salary level is quite satisfactory.Cons: The slightly siloed structure can make collaboration a bit difficult at times. You may often feel that business teams take priority over development teams. Robust security measures make development more difficult. (This has pros and cons, but for me, it's a drawback.)
- 3.0toxic environmentMachine Learning Engineer • Current EmployeeSeoulJanuary 22, 2025Pros: can learn quickly. Tech stack is advancedCons: leadership push employees to the extreme
- 5.0Good companyMachine Learning Engineer • Current EmployeeMountain View, CAOctober 22, 2024Pros: the company pays well per industry standardsCons: Work life balance may be a bit bad.
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