Design an LLM-Based Coding Assistant
Company: Meta
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: hard
Interview Round: Onsite
Overview: This question evaluates a candidate's ability to design an end-to-end machine learning system, covering model architecture, training data pipelines, evaluation methodology, and inference serving under latency constraints. It tests ML system design skills at a practical, applied level, commonly used to assess how candidates balance competing requirements like speed, cost, and quality in production ML systems.