[ OK ]1c74ce38-4b96-4f6d-ab3f-d5bf7373aaea — full writeup
[ INFO ]category: Behavioral · Multiple Types difficulty: 7 freq: first seen: 2026-01-29
[7][MULTIPLE TYPES]CodingBehavioral QuestionsAI-enabled CodingMachine Learning System DesignData Collection
$catproblem.md
Meta — Software Engineer ❌ Failed
Level: Senior-Level
Round: Full Journey · Type: Multiple Types · Difficulty: 7/10 · Duration: 240 min · Interviewer: Very Unfriendly
Topics: Coding, Behavioral Questions, AI-enabled Coding, Machine Learning System Design, Data Collection
Location: Menlo Park, CA
Interview date: 2025-12-30
Got offer: False
Summary
Round 1: Coding
Question: LeetCode 341 and Merge Three Sorted Arrays. I solved them quickly.
Round 2: Behavioral (BQ)
Question: Standard behavioral questions about team conflict and learning new things.
Round 3: AI-enabled Coding
Question: Max unique characters subset (frequently asked interview question).
Round 4: Machine Learning System Design (ML SD)
Question: Design an end-to-end ML system to enforce weapon sales advertisements. I struggled with collecting training data for new weapon types, and the interviewer was not friendly.
Details
Preparation Tips & Key Takeaways
What I Learned
Thorough preparation is crucial, especially for system design rounds.
Being able to handle novel scenarios is important for ML system design.
Interviewer demeanor can significantly impact the overall experience.
Recommended Preparation
Coding Practice
Focus on array manipulation problems.
Practice merging sorted arrays efficiently.
System Design
Study end-to-end ML system design principles.
Consider how to handle cold start problems and data collection for new types of items or events.
Behavioral Questions
Prepare STAR stories for common scenarios like conflict resolution and learning new technologies.
Resources I Recommend
Review frequently asked interview questions for AI-enabled coding.
Common Pitfalls to Avoid
Insufficient preparation for ML system design questions can be detrimental.
Not being able to address data collection challenges for novel scenarios can lead to negative feedback.