I recently interviewed for a Large Language Model (LLM) Engineer position at ByteDance, and the experience was both intellectually stimulating and professionally enriching. The interview process was well-structured, consisting of multiple rounds that assessed my proficiency in deep learning, natural language processing, and system design specific to large-scale model training and deployment. The interviewers were highly knowledgeable and posed thoughtful questions, including those on transformer architectures, optimization strategies, and ByteDance's approach to model efficiency and scalability.
Interview questions [1]
Question 1
What is the difference between stack and heap memory, and how are they managed by the operating system?