Machine Learning Engineer ML System Design Interview Questions
Practice 194 real ML System Design interview questions for Machine Learning Engineer roles. From companies including OpenAI, Meta, Amazon, Snapchat, Google.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design enterprise RAG search system
Design enterprise RAG search system Design an End-to-End Enterprise RAG Search System Background You are tasked with designing a Retrieval-Augmented G...
Design a Product Search System
Design a product search system for a large e-commerce marketplace. Users enter free-text queries such as wireless headphones, apply filters such as pr...
Design an AWS fine-tuning platform for LLMs
Scenario You need to build a system that lets customers fine-tune their own large language model (LLM) on AWS. Task Design a managed platform where us...
Select high-quality math documents from crawls
This ML System Design question evaluates the ability to design scalable, production-grade pipelines for extracting and quality-scoring mathematical co...
Discuss Transformer LLM Design
Discuss Transformer LLM Design System-Design-Oriented LLM Question Context: You are designing, fine-tuning, and operating a Transformer-based large la...
Design a streaming embedding-based classifier
You are given a continuously arriving stream of text data for a classification task. Design an end-to-end machine learning system that: 1. processes r...
Design a Location Recommendation System
This question evaluates a candidate's ability to design end-to-end machine learning recommendation systems, covering competencies in candidate generat...
Improve LLM reasoning for a domain task
This question evaluates competency in end-to-end LLM system design for improving multi-step reasoning, including task specification, data construction...
Design an HR Document AI Platform
Design an internal AI platform for a bank's HR organization. The platform should ingest HR documents such as policies, benefits guides, onboarding man...
Design a reaction-factor prediction system
End-to-End System Design: Predicting a Reaction Factor from Molecule Pairs Context and goal - You have a tabular dataset with columns: - molecule1_n...
Design a traditional fraud detection system
Design an End-to-End Real-Time Payments Fraud Detection System You are a Machine Learning Engineer at a large online payments platform. Design a tradi...
Design a harmful content detection system
Design a Harmful Content Detection System (Multilingual, Multimodal) Problem Statement You are designing a trust-and-safety system for a large, mobile...
Design quality checks for spreadsheet LLM data
This question evaluates a candidate's competency in designing data-quality validation pipelines and in assessing the need for fine-tuning of pretraine...
Design efficient Transformer inference with KV cache
You are implementing autoregressive inference for a decoder-only Transformer. 1) Explain what the KV cache is, what tensors are cached per layer, and ...
Design systems for global request detection and labeling
This question evaluates the ability to design scalable, low-latency ML systems for global streaming event detection and rapid labeling under extreme c...
Design a chatbot fallback for unknown questions
Scenario You run a ChatGPT-like assistant. Users sometimes ask questions the model cannot answer reliably (unknown/uncertain/needs up-to-date facts). ...
Calibrate LLM output to match Word formatting
This question evaluates a candidate's ML system design skills for calibrating large language model outputs to strict document formatting schemas, cove...
Explain parallelism and collectives in training
Parallelism strategies and communication in large-scale training You are designing a distributed training setup for very large neural networks that ca...
Design an LLM quality validation system
You are asked to design an end-to-end LLM quality validation system for a team that trains and serves large language models. The goal is to automatica...
Design a Multimodal Neural Network
Design Prompt: Multimodal Text–Image Retrieval and Classification Context You are building a production system that uses both text (titles/description...