Mastering Meta's Machine Learning Interview: Tackling AI Design Challenges and Predictions

Software Engineering
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Meta | Machine Learning | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview process was somewhat disorganized. Initially, I was scheduled for a Python coding interview, but instead, I was asked to design a machine learning system. After the interview, the HR representative mentioned they had forgotten to schedule the machine learning system design interview, leading to an additional round. The content of both interviews was quite similar.

Technical Questions

  1. AI Insights: Design an Agent for Prediction (Deep Learning, Autonomous Driving)

    • Given sensor and camera data from an autonomous vehicle, how would you train one or more agents to predict changes in the surrounding environment?

  2. AI Insights: Design a System for Danger Prediction (System Design, Deep Learning, Autonomous Driving)

    • Given sensor and camera data from an autonomous vehicle, how would you create a system to predict imminent dangers?

Tips & Insights

I discussed model selection, data processing, and some model details, focusing on data, loss, and training stage design. We brainstormed various unexpected situations that autonomous vehicles might encounter.