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 an internal data-access chatbot
Design an internal enterprise chatbot for employees. The bot should answer questions and help with tasks by accessing internal data sources (e.g., kno...
Design an Enterprise Tool-Using Agent
Design an enterprise LLM agent that can use external tools to complete multi-step business tasks. Assume the agent may call tools such as document ret...
Design Harmful Content and OOM Detection
This question evaluates machine learning system-design competencies, including safety-oriented content classification, taxonomy and labeling strategy,...
Design an ML job scheduler
This question evaluates competency in ML systems design, distributed resource scheduling, and cluster resource management for heterogeneous CPU and GP...
Explain ML statistics and model design concepts
Explain ML statistics and model design concepts Technical Phone Screen: Theory + System Design Probability and Statistics 1. Define a moment generatin...
Train LinearSVC to beat a hidden baseline
Train LinearSVC to beat a hidden baseline You are given a dataset and a fixed model class: LinearSVC. Implement train(X_train, y_train) and test(X_tes...
Design and train a PPO pipeline
End-to-End PPO Training: Describe Your Pipeline You are asked to explain, in concrete and reproducible terms, how you trained a policy with Proximal P...
Design nearby place recommendations
Real‑Time Nearby Places Recommendation System Context Design a mobile feature that recommends nearby places (e.g., restaurants, shops, attractions) to...
Implement KV cache for inference
Design Task: Key–Value Cache for Transformer Decoder Inference Context You are building an autoregressive inference engine for a Transformer decoder-o...
Describe ML projects and tech choices
ML Project Overview and Deep Dive (HR Screen) Context You are interviewing for a Machine Learning Engineer role. Provide a concise, structured overvie...
Build an end-to-end ML pipeline
Build an end-to-end ML pipeline ML System Design: Shipment Delay Risk Scoring From a Single CSV You are given a CSV of shipment events with the follow...
Deep-dive your GenAI project architecture
Deep-dive your GenAI project architecture GenAI System Deep-Dive: End-to-End Design and Scale Strategy Provide a structured walkthrough of a productio...
Design weapon-selling ad detection from posts
This question evaluates a candidate's ability to design a production-scale multimodal ML system for detecting weapon-selling ads, testing competencies...
Design an image copyright-violation detection system
This question evaluates competency in designing scalable machine learning systems for image copyright detection, testing knowledge across computer vis...
ML System Design: Movie Recommendation Model and Pipeline (AI-Assisted Round)
ML System Design: Movie Recommendation Model and Pipeline (AI-Assisted Round) This is a hands-on, AI-assisted coding round: you are allowed to use AI ...
Design a Lens Recommendation System
Design a recommendation system for augmented-reality lenses in a social camera application. Your design should cover: - product goals and success metr...
Build pipeline for imbalanced classification
Build pipeline for imbalanced classification Build an Imbalanced Classification Pipeline (scikit-learn + imbalanced-learn) Context You are given a tab...
Design logo infringement detection system
This question evaluates a candidate's competency in ML system design for visual search, covering image representation and embeddings, metric learning,...
Debug MNIST denoiser training
Debug MNIST denoiser training Debugging a Colab Denoising Network on MNIST Goal: Make a Colab notebook that trains a denoising neural network on MNIST...
Design real-time top-K POI retrieval on maps
Real-Time Top-K POIs in Viewport: System Design Context Design a real-time system for a mobile map that continuously shows the top-K points of interes...