Crack the MLE Interview

Topics to be expected in a Machine Learning Engineer interview:

• Algorithm Coding (same for SWE)
• ML Algorithm Coding
• ML Case Study
• Scalable System Design
• Behavioral Questions

Other topics that may appear:

• Linear Algebra
• Probability and Statistics
• Calculus

Algorithm Coding

• Leetcode (Medium, Hard)

ML Algorithm Coding

• Gradient Descent
• Decision Tree Split

ML Case Study

ML Modeling Knowledge:

• Feature Engineering
• Recommendation System
• Ranking
• Classification
• Regression
• Experimentation

ML System Knowledge:

• Scale and Latency
• ML Architecture
• Layered/Funnel Approach and Real-time Serving
• Training and Prediction Monitoring

Scalable System Design

• CAP Theorem
• Caching
• Partitioning and Sharding
• Push vs Pull model
• Big Data
• HTTP, web socket, long polling, RPC, etc
• Race condition
• SQL vs NoSQL

Behavoiral Questions:

• Past Experience
• Culture Fit
• Leadership and Ownership
• Conflict Handling

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