Process
The interview was a video interview, with recorded answers followed by two coding challenges of easy and medium difficulty.
The questions were broad, theoretical questions related to Machine Learning.
Feedback was immediate, within 1 day.
Questions
How do you distinguish a classification problem from a regression problem?
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Interview Statistics
The following metrics were computed from 3 interview experiences for the IBM Machine Learning role in United States.
Success Rate
0%
Pass Rate
IBM's interview process for their Machine Learning roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive33%
Neutral67%
Negative0%
Candidates reported having very good feelings for IBM's Machine Learning interview process in United States.
IBM Work Experiences
5.0
Amazing Company, No Cons
Software Engineer • Former Employee
North Shore, United States
May 16, 2023
Pros: This is a great company.
Cons: Not much as I can see.
4.0
Solid Company, Few Downsides
Software Engineer • Former Employee
America, United States
November 10, 2020
Pros: Good company to work for.
Cons: Very few I could think of.
5.0
Work-Life Balance
Sr. Database Administrator • Current Employee
Phil-Am, United States
October 20, 2022
Pros: Flexible Working, Great Environment, and Great People
Cons: Night shift benefits can be improved, such as the night differential.
- 5.0Amazing Company, No ConsSoftware Engineer • Former EmployeeNorth Shore, United StatesMay 16, 2023Pros: This is a great company.Cons: Not much as I can see.
- 4.0Solid Company, Few DownsidesSoftware Engineer • Former EmployeeAmerica, United StatesNovember 10, 2020Pros: Good company to work for.Cons: Very few I could think of.
- 5.0Work-Life BalanceSr. Database Administrator • Current EmployeePhil-Am, United StatesOctober 20, 2022Pros: Flexible Working, Great Environment, and Great PeopleCons: Night shift benefits can be improved, such as the night differential.
IBM Interview Questions
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