Machine Learning Intern Interview Experience - United States
October 22, 2024
Positive ExperienceNo Offer
Process
OA on CodeSignal with standard machine learning questions (not deep learning). This includes an easy coding question and two machine learning algorithm questions with provided functions (e.g., k-NN, K-Means, decision trees, bagging).
Time management is key.
Questions
Implement bagging with the given functions.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Pinterest Machine Learning Intern role in United States.
Success Rate
0%
Pass Rate
Pinterest'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 Pinterest's Machine Learning Intern interview process in United States.
Pinterest Work Experiences
5.0
Great Company and Colleagues
Machine Learning Intern • Former Employee
July 18, 2024
Pros: Good work-life balance and helpful coworkers.
Cons: They don't have offices in many states.
4.0
ML intern experience
Machine Learning Intern • Former Employee
San Francisco, California, United States
September 9, 2023
Pros: Good ML work at the company.
Cons: Company profitability is not great.
4.0
Good WLB, narrow focus
Sr MLE • Current Employee
November 23, 2025
Pros: Good work-life balance and fully remote.
Cons: Everything focuses on the product. Freedom to explore is limited.
- 5.0Great Company and ColleaguesMachine Learning Intern • Former EmployeeJuly 18, 2024Pros: Good work-life balance and helpful coworkers.Cons: They don't have offices in many states.
- 4.0ML intern experienceMachine Learning Intern • Former EmployeeSan Francisco, California, United StatesSeptember 9, 2023Pros: Good ML work at the company.Cons: Company profitability is not great.
- 4.0Good WLB, narrow focusSr MLE • Current EmployeeNovember 23, 2025Pros: Good work-life balance and fully remote.Cons: Everything focuses on the product. Freedom to explore is limited.
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