Pinterest Machine Learning Engineer interview questions
13 questions reported by candidates between 2023–2025. The most common are concept questions.
What they ask, by round
Most-asked questions
- Design a product recommendation system. Machine-learning
- Implement a k-nearest neighbors algorithm. Technical
- Design spam detection on Pinterest. System design
- Given a list of strings, find all strings that encode to the same value using a Caesar Cipher. (A Caesar Cipher rotates characters, e.g. in CC3: a->d, b->e, ..., z->c) Technical
- Tell me about a machine learning project you worked on. Machine-learning
- Explain the differences between ReLU and Sigmoid. Concept
- Explain the differences between nonconvex and convex functions. Concept
- Why do you want to work at Pinterest? Behavioral
- For a dataset with a million data points, would you use a DNN or KNN? Why? Concept
- Explain overfitting. Concept
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3 more Pinterest Machine Learning Engineer questions are in the full list, with AI answers for each.
See all 13 questions freeRelated
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Questions people ask
What does Pinterest ask in Machine Learning Engineer interviews?
Candidates reported 13 different questions between 2023–2025. The most common type is concept (7 questions).
What rounds are in the Pinterest Machine Learning Engineer interview?
Reported questions cover concept, machine-learning, technical, behavioral, system design.
How should I prepare for a Pinterest Machine Learning Engineer interview?
Practise the most-asked questions out loud with a clear structure, then do a timed mock interview. You can start a free Pinterest Machine Learning Engineer mock interview on this page.
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