Pinterest Machine Learning Engineer Interview Questions
7+ Pinterest Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Pinterest Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Pinterest Machine Learning Engineer Interview
The Pinterest Machine Learning Engineer interview process typically runs 4 to 6 rounds depending on seniority level. Based on candidate reports in the LeakCode database, the loop usually includes a resume review, an online assessment or coding phone screen, one or more technical rounds, a system design round (for senior and above), and a behavioral or values round.
Difficulty skews toward medium and hard LeetCode-style problems in the coding rounds. System design questions test breadth (component selection, scaling, trade-off reasoning) more than deep implementation. Behavioral questions are tied to the company's stated values and principles.
Pinterest Machine Learning Engineer Questions (Sample)
Pinterest Machine Learning Engineering Internship Online Test Overview
Six multiple-choice questions about machine learning: One question involves calculating neural networks (NNs) and using a sigmoid function; prepare your calculator. One question requires you to manual
pinterest machine learning engineer fulltime tech phone screen experience
上来先是15min简历shallow dive，然后开始做题建立一个class实现稀疏矩阵的存储，打印，加法和乘法，我知道是用字典存储，但是后面的写的磕磕绊绊，还是挂了。求加米看面经。
Pinterest Machine Learning Engineering Fulltime Tech Phone Screen Interview
Introducing two projects: ML basics: The impact of model complexity on bias variance, gradient vanishing. Coding: Similar to LeetCode and P5, but described using pins and boards.
Pinterest Machine Learning Engineer Tech Phone Interview Experience
A bizarre experience: I applied to this company quite late; several onsite interviews were already completed, while this one had just started its phone interview. I'm currently an AS at a major compan
Pinterest Sr. MLE onsite round
Hi all, I had my onsite loop with Pinterest last month for their Sr. MLE position. I did not get the offer, but I still wanted to share my experience...
Pinterest ML internship 2025 | San Francisco | Offer signed
Took around 1.5 months Code signal(score 550) -> recruiter -> ML + Leetcode -> System Design -> Behavioral with HM ML+ coding is the hardest round, if you can crack...
Rapid Fire MLE Knowledge Questions - Core ML Concepts Interview
## Round 1 - ML Knowledge ## Problem This is a rapid-fire conceptual round. Expect 8-12 short questions covering ML fundamentals. Representative questions: **Q1:** What is the bias-variance tradeoff? Give an example of a high-bias and a high-variance model. **Q2:** You train a model with 99% training accuracy and 60% validation accuracy. What is happening and what are three remedies? **Q3:** Explain the vanishing gradient problem. Which architectures mitigate it and how? **Q4:** Compare L1 and L2 regularization. When would you prefer L1? **Q5:** What is the difference between bagging and boosting? Name one algorithm for each. **Q6:** Your classification model has 95% accuracy on an imbalanced dataset (5% positive class). Is 95% accuracy meaningful? What metric would you use instead? **Q7:** Explain how attention in Transformers works at a high level. What problem does it solve that RNNs struggle with? **Q8:** You need to deploy a model that makes predictions in under 10ms. What techniques reduce inference latency? ## Follow-ups 1. Walk through the forward and backward pass of a single-layer neural network with one hidden unit. 2. What is data leakage and how does it cause deceptively high validation scores? 3. Describe how you would debug a model that has good offline metrics but poor A/B test results. 4. When would you choose a tree-based model over a neural network for a tabular dataset?
Difficulty Breakdown
2
easy
Based on 7 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Pinterest Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| phone screen | 4 |
| system design | 1 |
| oa | 1 |
Most Common Topics
Question Recency
2
2026
2
2025
2
2024
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Pinterest Machine Learning Engineer Interview
Use the LeakCode question database as your primary research tool. Filter by role (Machine Learning Engineer), then by round type to focus your prep on the specific stages in your upcoming loop. Sort by recency to see what 2026 candidates actually faced.
- Start with questions from the last 12 months. Interview processes change and recent data is the strongest signal.
- Cross-reference questions that appear in multiple sources (1p3a, Blind, Glassdoor). Multi-source confirmation means a question has stronger recurrence probability.
- For system design rounds: focus on the question patterns, not individual questions. The same design principles recur across many prompts.
- For behavioral rounds: map your experiences to the company's stated values before the interview. Most behavioral questions at top companies are derivatives of a small set of core leadership competencies.
FAQ
How many Pinterest Machine Learning Engineer questions are in the database?
7+ questions from verified candidate reports. The count grows as new reports are scraped daily from 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode.
Are these questions from real Pinterest interviews?
Yes. All questions are sourced from actual candidate interview reports, not generated by AI. Each entry links back to its source URL where available, and questions are tagged with the year and round reported by the candidate.
How current is this data?
LeakCode updates daily. The database is filtered to exclude duplicate and low-quality entries. You can filter by interview year to focus on recent cycles.
Does LeakCode cover Pinterest OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Pinterest OA page for a dedicated view.
Related: Pinterest All Questions · Pinterest OA Questions · Browse All Companies · Data Sources