Machine Learning Engineer Intern Interview Experience - United States
Process
The online assessment is conducted through CodeSignal.
It includes multiple-choice questions that test fundamental knowledge in machine learning, as well as Python coding questions.
These coding challenges focus on:
- Array and string manipulation
- The practical implementation of machine learning algorithms
The assessment evaluates both theoretical understanding and hands-on coding proficiency in relevant areas of data science and machine learning.
Questions
Calculation for neural networks with different activation functions.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Pinterest Machine Learning Engineer Intern role in United States.
Success Rate
Pinterest's interview process for their Machine Learning Engineer Intern roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Pinterest's Machine Learning Engineer Intern interview process in United States.
Pinterest Work Experiences
- 5.0Friendly Remote TeamMachine Learning Engineer Intern • Former EmployeeSeptember 1, 2025Pros: I was on a fully remote team. Everyone was super nice and friendly.Cons: wasn't able to connect on a personal level since it was remote.
- 5.0Nice culture, cool people, remote workMachine Learning Engineer Intern • Former EmployeeNovember 18, 2024Pros: Everyone was really welcoming and happy to make connections, even though the entire internship was remote.Cons: Although I agree remote work life is very flexible, I didn't enjoy being remote.
- 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.
Pinterest Interview Questions
