Process
OA Prescreen.
Two interviews: one technical and one behavioral.
Both the OA and the technical interview weren't that bad. I clicked pretty well with my interviewer, which is probably important above all else.
Questions
What are your salary expectations?
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Interview Statistics
The following metrics were computed from 1 interview experience for the IBM Machine Learning Intern role in United States.
Success Rate
0%
Pass Rate
IBM's interview process for their Machine Learning Intern roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for IBM's Machine Learning Intern interview process in United States.
IBM Work Experiences
5.0
Awesome interning experience
Machine Learning Intern • Former Employee
Tempe, Arizona, United States
September 16, 2019
Pros: Challenging problems, collaborative people, and great learning opportunities.
Cons: Not any that I can think of.
5.0
Best places to work with scientists
Machine Learning Intern • Current Employee
Zürich, Switzerland
June 4, 2021
Pros: Too many scientists are there. You can easily work with them.
Cons: Hard to get into IBM.
5.0
Excellent place to do research and intellectually grow as an intern
Machine Learning Intern • Former Employee
Zürich, Zürich, Switzerland
May 20, 2022
Pros: High-quality compute infrastructure and high-quality mentorship.
Cons: Sometimes the research tempo is slow-paced.
- 5.0Awesome interning experienceMachine Learning Intern • Former EmployeeTempe, Arizona, United StatesSeptember 16, 2019Pros: Challenging problems, collaborative people, and great learning opportunities.Cons: Not any that I can think of.
- 5.0Best places to work with scientistsMachine Learning Intern • Current EmployeeZürich, SwitzerlandJune 4, 2021Pros: Too many scientists are there. You can easily work with them.Cons: Hard to get into IBM.
- 5.0Excellent place to do research and intellectually grow as an internMachine Learning Intern • Former EmployeeZürich, Zürich, SwitzerlandMay 20, 2022Pros: High-quality compute infrastructure and high-quality mentorship.Cons: Sometimes the research tempo is slow-paced.
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