Optimize LLM Training and Serving
Company: Adobe
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: hard
Interview Round: Onsite
Overview: This question evaluates hardware-aware ML systems engineering skills, specifically reasoning about memory-versus-compute bottlenecks and attention matrix materialization costs, interpreting HFU versus MFU metrics, and using GPU profiling signals to diagnose training and low-latency serving performance within the ML System Design domain.