Round: Onsite · Type: System Design · Difficulty: 6/10 · Duration: 120 min · Interviewer: Unfriendly
Topics: System Design, Data Ingestion, Data Aggregation, Machine Learning, Sentiment Analysis
Location: Los Gatos, CA
Interview date: 2025-05-15
Summary
Round 1: Hiring Manager Screen
Question: Focused heavily on background matching to the role.
Round 2: System Design
Question: Design a system to track overall sentiment towards Netflix from social media over time. I covered data ingestion, aggregation, and offline ML training. The interviewer didn't seem very engaged, but I passed.
Details
System Design Question Details
The question involved designing a system to track social media sentiment regarding Netflix. I approached it by outlining the following components:
Data Ingestion: How to collect data from various social media platforms.
Data Aggregation: How to aggregate and process the collected data.
Offline ML Training: Training a machine learning model to analyze sentiment.
Preparation Tips
Review common system design patterns, particularly those related to data processing and analysis.
Practice designing systems for real-time data analysis.
Be prepared to discuss trade-offs in system design choices.
Key Takeaways
Even if the interviewer seems disengaged, it's important to remain focused and present your solution clearly.
Focus on a broad overview of the system, covering key components and their interactions.