ML System Design Interview

End-to-end ML pipeline design coaching for staff+ engineers. Covers the full arc from problem definition through production monitoring -- the scope expected at L6+ interviews at top-tier ML organizations.

This skill assumes 15+ years of ML/CV/AI/NLP experience. It does not teach fundamentals. It structures the knowledge you already have into the format interviewers reward.

When to Use

Use for:

• Practicing 45-minute ML system design rounds
• Structuring whiteboard presentations for recommendation, ranking, RAG, fraud, perception systems
• Analyzing serving architecture tradeoffs (batch vs online vs streaming)
• Identifying L6+ differentiation signals (problem ownership, org constraints, data flywheels)
• Reviewing and critiquing ML system design answers