Pinterest Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
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Sample a string by real-valued scores
You are given: - A list of strings texts (e.g., user comments), length n. - A list of floating-point scores scores of length n, where each score can b...
Generate all hyperparameter combinations
You are given several groups of hyperparameter choices for an ML experiment. Each group contains one hyperparameter name and a list of candidate value...
Design notification and feed recommenders
Design two recommendation systems for a large visual-discovery platform: 1. Notification recommendation system: Decide whether to send a notification ...
Explain bias–variance, overfitting, and vanishing gradients
Answer the following ML fundamentals questions: 1. Bias–variance tradeoff: What are bias and variance? How do they relate to underfitting/overfitting?...
Insert parentheses to minimize expression value
You are given a string expression of the form A+B, where A and B are non-empty strings of digits (no digit is '0'). You must insert exactly one pair o...
Design a real-time home feed ranker
Scenario Design a real-time home feed (e.g., social or content platform) that is responsive to user engagement. Users open the app and see a ranked li...
Explain overfitting, underfitting, and regularization
You are asked ML fundamentals questions. 1. What are overfitting and underfitting? Describe how they show up in training vs. validation/test performan...
Solve five hard algorithm problems
The coding rounds covered the following algorithmic problems: 1. Transform one array into another using range +1/-1 operations You are given two ...
Design an unsafe content detection system
Scenario You are building a system that detects and mitigates unsafe user-generated content (UGC) on a large platform. Unsafe content can include: hat...
Support room moves and query top-k fastest
Problem There are R rooms labeled 0..R-1 (in increasing order), and P people labeled 0..P-1. - Initially, all people are in room 0. - Operation move(p...
Implement Naive Bayes classifier from scratch
Implement a Naive Bayes classifier from scratch (you may use NumPy). Write a class with: - fit(X, y): estimate class priors and feature likelihood par...
Implement string-based rounding without floats
Coding You are not allowed to parse the input into a built-in floating type (to avoid overflow and precision issues). Work directly on strings. 1) Imp...
Implement trie-based autocomplete
Problem Design an autocomplete data structure using a trie. You must support: 1. insert(word: string) -> void 2. search(word: string) -> bool (exact m...
Solve a 9x9 Sudoku puzzle
Given a partially filled 9×9 Sudoku board, fill the empty cells so that the completed board is valid. A valid Sudoku satisfies: - Each row contains di...
Design an ads system to improve CTR
Design an ML system to increase the click-through rate (CTR) of ads shown in the feed of an online social media platform. Address the following: 1. Go...
Answer core ML fundamentals questions
You are asked several short ML fundamentals questions: 1) Define precision and recall for a binary classifier and explain how they relate to a confusi...
Implement bagging with decision trees
Implement a simple bagging (bootstrap aggregating) classifier that uses decision trees as base learners. You are given a template with a DecisionTree ...
Explain overfitting and how to prevent it
You are asked rapid-fire ML fundamentals questions. 1. What is overfitting? Explain it in terms of training vs. validation performance and generalizat...
Explain learning-rate fluctuation and vanishing gradients
ML Fundamentals Answer the following conceptual questions: 1. Learning rate vs. training stability: Why can training metrics (loss/accuracy) fluctuate...