Machine Learning Engineer · Onsite · Multiple Types

Pinterest — Machine Learning Engineer ✅ Passed

Level: Senior-Level

Round: Onsite · Type: Multiple Types · Difficulty: 6/10 · Duration: 300 min · Interviewer: Neutral

Topics: Algorithms, Data Structures, System Design, Behavioral Questions, Hash Map, Binary Search

Location: San Francisco Bay Area

Interview date: 2026-01-16

Summary

Round 1: Coding

Question: Standard coding question.

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Round 2: Coding

Question: Violation log statistics. The first part involved a hash map. The second part required binary search and was of medium difficulty.

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Round 3: System Design

Question: Design a personalized chatbot to recommend relevant pins.

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Round 4: System Design

Question: Design a search engine for pins.

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Round 5: Behavioral (BQ)

Question: Standard behavioral questions.

Details

Preparation Tips & Key Takeaways

What I Learned

• It's important to be familiar with common data structures and algorithms like hash maps and binary search.
• System design questions require a good understanding of designing scalable and personalized systems.

Recommended Preparation

Coding Practice

• Practice with hash map and binary search problems.
• Focus on medium-difficulty algorithm questions.

System Design

• Study design patterns for personalized recommendation systems.
• Review search engine design concepts.

Behavioral Questions

• Prepare STAR stories to address common behavioral questions.

Resources I Recommend

• LeetCode for coding practice.
• System design interview preparation materials.

LeetCode similar: LeetCode 815