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.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design a Multi-Channel Notification System
Design a Multi-Channel Notification System Design a notification platform that accepts product events and delivers timely messages through channels su...
Estimate a Launch Impact with Difference in Differences
Estimate a regional product launch effect with difference in differences when retrospective randomization is unavailable. Define the estimand, test pa...
Prevent Vanishing Gradients in Deep Networks
Prevent Vanishing Gradients in Deep Networks Clarifying Questions to Ask - Are we discussing feed-forward networks, recurrent networks, or both? - Sho...
Design a Distributed Rate-Limiting Service
Design a Distributed Rate-Limiting Service Design a rate-limiting service that protects APIs across many application instances. It should support per-...
Select the Nearest Eligible Elevator
Select the Nearest Eligible Elevator You are given a list of elevators. Each elevator has a current integer floor and a state: "up", "down", or "idle"...
Design User and Item Embeddings from Long Histories
Design User and Item Embeddings from Long Histories Design an embedding system that represents users and visual-content items for retrieval or recomme...
List Unallocated Experiment Buckets
List Unallocated Experiment Buckets Problem An experiment system divides traffic into numbered buckets. Implement findUnallocatedBuckets(bucketCount, ...
Implement Bootstrap and Jackknife Estimates on a DataFrame
Implement bootstrap and jackknife uncertainty estimates for a statistic computed from a pandas DataFrame. Learn correct positional resampling, confide...
Rebalance Experiment Buckets with Minimal Reassignment
Rebalance Experiment Buckets with Minimal Reassignment Problem Implement rebalanceBuckets(bucketCount, groups, targetPercentages) -> rebalancedGroups....
Size an Opportunity and Present It with Clear Visuals
Structure a data science case that sizes a business opportunity from partial information and presents it to senior decision-makers. Build top-down and...
Rank Newly Launched Ads Under Cold Start
Rank Newly Launched Ads Under Cold Start Design a ranking model dedicated to ads launched within the last seven days, where direct performance history...
Implement and Evaluate Pin Similarity in Python
You are asked to compare Pin similarity in Python. Begin by clarifying how a Pin is represented and what “similar” should mean. Then assume the interv...
Describe a Failure or Mistake and Its Lasting Lesson
Describe a Failure or Mistake and Its Lasting Lesson Tell me about a meaningful professional failure or mistake. What did you own, how did you respond...
Explain a Project Through Business Impact and User Value
Explain a Project Through Business Impact and User Value Prompt Describe a project from your current or recent work. Explain the problem, your contrib...
Connect Probability, Experiment Sizing, and Bootstrap Inference
Connect Probability, Experiment Sizing, and Bootstrap Inference A product team wants a precise statistical readout for a billboard-style intervention....
Design and Interpret a Video Pin Experiment
A content platform wants to increase creation of video Pins. Design an experiment, then interpret the illustrative result table below and make a launc...
Design a Distributed Rate Limiter
This question evaluates expertise in distributed systems and real-time rate-limiting, covering scalability, low-latency design, concurrency control, c...
Bias-Variance Tradeoff and Vanishing Gradients in Feedforward Networks
This question evaluates conceptual understanding of the bias-variance tradeoff and the vanishing-gradient problem in deep feedforward networks, two co...
Design Catalog Update Pipeline
This question evaluates a candidate's ability to design scalable, fault-tolerant catalog update pipelines, including partitioning for horizontal scala...
Settle debts with minimal transactions
You are given a list of debts among a set of people, expressed as triples (debtor, creditor, amount) (equivalently (payer, payee, amount)), where each...