Pinterest Interview Questions

Pinterest Interview Questions

Practice 145 real Pinterest interview questions for 2026. Covers all top categories — Coding & Algorithms, Data Manipulation (SQL/Python), Analytics & Experimentation, Machine Learning, System Design — across Data Scientist, Software Engineer, Machine Learning Engineer, and Data Analyst roles. Real questions from actual interviews with detailed solutions. This collection leans hard on coding and algorithm problems for SWE candidates while giving equivalent weight to experiment design, SQL/Python analytics, and model evaluation for data roles, making it a focused resource for interview preparation for screens, virtual onsites, and take-home assignments. Expect interviews to evaluate algorithmic thinking, production design, experimental rigor, and clear data storytelling. For Data Scientists you’ll see carousel and billboard lift evaluation, weighted/random-sampling implementations, numpy/pandas and SQL analytics on category and video-time metrics, and survey-balance diagnostics. Software Engineers face prefix-matching, catalog update pipelines, sparse-matrix ops, grid/graph puzzles, and ads event reporting or blob storage design. Machine Learning Engineers get pin-search and recommender design, Naive Bayes/bagging implementation, hyperparameter generation, and sampling-by-score problems. Data Analysts encounter cohort and cancellation/rebooking metric questions. Prepare with timed coding drills, end-to-end A/B case studies, polished Python/SQL practice, and concise STAR stories for behavioral rounds.

145 Questions 1 Company07.23.2026
Showing 20 results
Role
Pinterest logo
Pinterest
Easy
Data Scientist Locked

Implement np.random.choice

This question evaluates understanding of random sampling algorithms, probability distributions (uniform and weighted), handling of weights and edge-ca...

Coding & Algorithms
5
0
47 people solved
Feb 1, 2026
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Compute reachable cells for a cleaning robot

This question evaluates understanding of graph traversal, state-space modeling, and scalability when computing reachable cells on a 2D grid under 8-di...

Coding & Algorithms
38
0
270 people solved
Jan 22, 2026
Pinterest logo
Pinterest
Medium
Software Engineer

Assign Pins to Shortest Columns

You are given a list of pins, where each pin has a height, and a fixed number of columns in a masonry-style layout. Process the pins in their original...

Coding & Algorithms
0
0
11 people solved
Apr 9, 2026
Pinterest logo
Pinterest
Medium
Software Engineer

Determine equality of arbitrarily nested sets

Implement a function that determines whether two arbitrarily nested sets are equal. Sets are unordered and contain no duplicates; elements can be inte...

Coding & Algorithms
15
0
138 people solved
Sep 6, 2025
Pinterest logo
Pinterest
Medium
Software Engineer

Solve set equality and ad log top‑K

Problem Set (Coding) 1) Check whether two sets are equal You are given two integer arrays A and B that represent sets, except they may contain duplica...

Coding & Algorithms
19
0
197 people solved
Nov 11, 2025
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Find First Prefix-Matching Word

This question evaluates proficiency in string processing and prefix-matching within arrays, testing the ability to identify the first occurrence and h...

Coding & Algorithms
9
0
74 people solved
Feb 24, 2026
Pinterest logo
Pinterest
Medium
Data Scientist

Write SQL and pandas for shopping events

Use the schema and sample data below to answer SQL and pandas tasks. Treat 'today' as 2025-09-01. Schema users(user_id INT, country STRING) pins(pin_i...

Data Manipulation (SQL/Python)
1
0
8 people solved
Oct 13, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Find top video category by average time

You are given a pandas DataFrame 'pins' with columns [pin_id:int, category_id:int, time_spent_sec:float, pin_format:string] and a dict 'category_map' ...

Data Manipulation (SQL/Python)
1
0
6 people solved
Oct 13, 2025
Pinterest logo
Pinterest
Medium
Machine Learning Engineer Locked

Design a pin search engine

Design a Pinterest-style pin search engine with hybrid candidate generation, dual-encoder retrieval, multimodal ranking, pairwise/listwise losses, off...

ML System Design
3
0
68 people solved
Apr 9, 2025
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Solve Four Interview Coding Problems

This question set evaluates algorithmic problem-solving skills including graph traversal and itinerary reconstruction, time-sorted search and binary s...

Coding & Algorithms
8
0
60 people solved
Feb 1, 2026
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Solve Two Grid Search Problems

This question evaluates proficiency in graph traversal on grids, specifically competencies in identifying connected components and modeling propagatio...

Coding & Algorithms
11
0
76 people solved
Jan 28, 2026
Pinterest logo
Pinterest
Medium
Data ScientistSenior+

Write Queries for Pinterest Engagement Tasks

You are given several data-manipulation tasks based on Pinterest-style product data. Use UTC for all timestamp-to-date conversions unless stated other...

Data Manipulation (SQL/Python)
3
0
23 people solved
Jan 22, 2026
Pinterest logo
Pinterest
Medium
Machine Learning Engineer Locked

Generate all hyperparameter combinations

This question evaluates competence in combinatorial enumeration and manipulation of data structures for generating hyperparameter configurations, test...

Coding & Algorithms
12
0
117 people solved
Jan 22, 2026
Pinterest logo
Pinterest
Medium
Software Engineer

Implement stream line reader and settle balances

Part 1: Streaming line reader from chunked source You are given an existing class ChunkSource with a method nextChunk() that returns the next piece of...

Coding & Algorithms
24
0
202 people solved
Sep 10, 2025
Pinterest logo
Pinterest
Hard
Machine Learning EngineerSenior+ Locked

Support room moves and query top-k fastest

This question evaluates understanding of dynamic data structure design and ordering semantics, specifically maintaining per-room FIFO arrival order, c...

Coding & Algorithms
9
0
68 people solved
Jan 12, 2026
Pinterest logo
Pinterest
Hard
Machine Learning EngineerSenior+ Locked

Implement trie-based autocomplete

This question evaluates understanding and implementation of trie data structures for prefix-based retrieval, testing competencies in string algorithms...

Coding & Algorithms
5
0
47 people solved
Jan 12, 2026
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Implement sparse matrix storage, addition, and multiplication

This question evaluates understanding of sparse matrix representations, algorithmic efficiency for linear algebra operations, and the ability to manip...

Coding & Algorithms
10
0
136 people solved
Jan 6, 2026
Pinterest logo
Pinterest
Medium
Software Engineer Locked

Reconstruct route from unordered travel tickets

This question evaluates understanding of directed graph concepts and sequence reconstruction, assessing the ability to reason about ordered relationsh...

Coding & Algorithms
12
0
199 people solved
Jan 6, 2026
Pinterest logo
Pinterest
Easy
Machine Learning Engineer

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...

Coding & Algorithms
12
0
109 people solved
Dec 15, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Design Data Structure for Sparse Matrices Operations

Scenario Analytics engine stores extremely sparse numeric matrices. Question Design a data structure to store two sparse matrices and implement print(...

Coding & Algorithms
8
0
12 people solved
Jul 12, 2025

Frequently Asked Questions

How difficult are Pinterest interview questions for this 145-question set?
Pinterest interview difficulty varies by role and seniority. Across the 145 real questions in this set, expect medium-to-hard difficulty for software engineers with emphasis on clean algorithmic solutions and system tradeoffs, and moderate-to-hard for data scientists where product-focused experimentation, SQL, and causal reasoning are evaluated. Machine learning engineer rounds skew toward applied ML fundamentals and recommender/search design, while data analyst items are relatively straightforward metric calculations. Overall, interviews test both implementation fluency and product judgment — solving a problem correctly is necessary, but explaining assumptions, metrics, and tradeoffs is equally important.
What is the typical Pinterest interview process and where do these roles appear in the loop?
Pinterest interviews usually begin with a recruiter screen, followed by one or two technical screens tailored to the role, then a loop of 3–5 onsite or virtual interviews covering coding, system or ML design, and behavioral/manager rounds. Software engineer candidates see coding and system-design-focused rounds; data scientists face coding plus product-case and experimentation rounds; machine learning engineers combine coding with model design and recommender/search architecture; data analysts are asked metric and SQL problems. Expect the role to surface early in the loop during the technical screens so prepare role-specific artifacts and examples in advance.
How should I schedule preparation across the 145 real Pinterest interview questions — what timeline works best?
For 145 questions allocate a structured 6–8 week plan: weeks 1–2 reinforce fundamentals — arrays, strings, hashes, SQL joins/aggregates, and core ML statistics; weeks 3–5 work through the dataset: alternate role-specific blocks (coding for engineers, experiment and SQL cases for data scientists, model and recommender design for MLEs) and time-box solving full questions under interview conditions; final 1–2 weeks run timed mock interviews, system design walkthroughs, and behavioral STAR rehearsals. Review mistakes, write clean solutions, and practice explaining metrics and tradeoffs out loud before interviewing.
What are the key technical subtopics to prioritize from these Pinterest questions?
Prioritize the themes that appear repeatedly by role. For data scientists focus on experiment design and lift evaluation (carousel and billboard cases), weighted or random sampling implementations, SQL aggregation for top categories and engagement metrics, and handling survey biases. Software engineers should emphasize prefix/autocomplete patterns, pipeline and storage design, sparse-matrix algorithms, graph and grid search problems, and reliability for blob/event systems. Machine learning engineers need search/recommender architecture, model fundamentals (bagging, Naive Bayes), hyperparameter grid generation, and overfitting diagnostics. Data analyst items concentrate on retention and cancellation percent calculations.
What standout tips and common pitfalls should I watch for when prepping these Pinterest interview questions?
Lead with product context and metrics: state the business goal, choose evaluation metrics, and justify tradeoffs. Communicate assumptions, handle edge cases, and write tests or sample outputs for coding/SQL answers. For experiments, state randomization strategy, power implications, and bias controls. For ML, discuss features, regularization, and validation to avoid overfitting. Pitfalls include skipping requirement clarifications, ignoring NULLs or real data skew, overengineering a solution, and failing to link technical choices back to user or business impact. Practice concise storytelling for behavioral rounds and timed mock interviews for fluency.

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