Machine Learning Engineer Interview Experience - Seoul, South Korea
January 22, 2025
Neutral ExperienceNo Offer
Process
Phone screen interview + 2 more rounds for the tech project that I've done before. There were 2 coding tests + 1 more round with the PO. I think the PO's question was not clear.
Questions
Tell me about your project.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Coupang Machine Learning Engineer role in Seoul, South Korea.
Success Rate
0%
Pass Rate
Coupang's interview process for their Machine Learning Engineer roles in Seoul, South Korea is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Coupang's Machine Learning Engineer interview process in Seoul, South Korea.
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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