Design a grounded voice assistant
Company: Apple
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Onsite
Overview: This question evaluates understanding of grounding strategies for large language models, causes and mitigation of hallucinations, response quality evaluation metrics, context management for long histories, and trade-offs among accuracy, latency, safety, and user experience in a production voice assistant within the ML System Design domain for a Machine Learning Engineer role. It is commonly asked to assess system-level design and practical application skills in building reliable, safe, and scalable conversational AI, requiring both conceptual understanding and practical implementation considerations.