Explain modern modeling and alignment methods
Company: Amazon
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Quick Answer: This question evaluates mastery of modern model architectures and alignment techniques—covering attention optimizations like FlashAttention, parameter-efficient fine-tuning such as LoRA, sequence modeling trade-offs between RNNs and Transformers, reinforcement learning from human feedback (RLHF), and post-training policy optimization variants (GRPO vs GSPO)—within the Machine Learning domain. It is commonly asked to assess both conceptual understanding and practical application of efficiency, memory usage, optimization behavior, evaluation metrics, and real-world pitfalls when designing and aligning large models, emphasizing trade-offs and implementation considerations.
