Quantum – Practice AI/ML/LLM Engineering Interviews with Detailed System Design Feedback

Summary: Quantum offers a curated platform for practicing AI, ML, and LLM engineering interview questions with full system design breakdowns, architectures, and trade-offs. It provides AI-generated, actionable feedback to help users improve their answers and track progress, addressing the challenge of articulating complex concepts under interview pressure.

What it does

Quantum delivers a question bank covering LLM architecture, system design, distributed training, and infrastructure topics, allowing users to practice with tagged questions by difficulty and company. After submission, its AI provides detailed score breakdowns, highlights strengths and weaknesses, and supplies comprehensive reference answers with diagrams and follow-up questions.

Who it's for

It is designed for AI/ML/LLM engineers preparing for technical interviews at companies like Google, OpenAI, and Meta, especially those needing to improve structured communication of system design and engineering concepts.

Why it matters

Quantum addresses the difficulty engineers face in organizing and articulating complex ML system designs during interviews by offering realistic questions and precise, actionable feedback to enhance interview readiness.