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 Embedding and Classification API
Design an Embedding and Classification API Design a service that accepts text items, generates vector embeddings, and optionally classifies each item ...
Design Work Orchestration for Machine-Learning Data Pipelines
Design Work Orchestration for Machine-Learning Data Pipelines Design an orchestration system for data-production workflows used by machine-learning te...
Predict Next-Week Streaming Engagement at Event Scale
Predict Next-Week Streaming Engagement at Event Scale Design an ML system that predicts whether a streaming user will be active next week. Discuss lab...
Build a Small Agent or RAG Tool with the Mistral API
In a live coding interview, you receive an API token for an LLM backend and are asked to build a small agent or retrieval-augmented generation tool. D...
Design RAG Evaluation and Debugging
This question evaluates a candidate's ability to design evaluation and debugging frameworks for production RAG systems, testing practical ML engineeri...
Design User and Item Embeddings from Long Histories
Design User and Item Embeddings from Long Histories Design an embedding system that represents users and visual-content items for retrieval or recomme...
Design a RAG system with evaluation
Scenario Design a Retrieval-Augmented Generation (RAG) system that answers user questions over a private corpus (internal docs, PDFs, knowledge-base a...
Design an LLM-Based Coding Assistant
This question evaluates a candidate's ability to design an end-to-end machine learning system, covering model architecture, training data pipelines, e...
Rank Newly Launched Ads Under Cold Start
Rank Newly Launched Ads Under Cold Start Design a ranking model dedicated to ads launched within the last seven days, where direct performance history...
Build a Candidate Search System
This question evaluates the ability to design and implement an end-to-end candidate search system, assessing competencies in information retrieval, ra...
Design Comment Prediction Ranking System
This question evaluates proficiency in end-to-end machine learning system design for predicting user engagement, specifically the probability of a use...
Design Video Intelligence for Investigations
This question evaluates a candidate's competency in designing scalable, multimodal video intelligence systems that integrate machine learning, informa...
Design an Agent Harness and Evaluation System
Design an Agent Harness and Evaluation System Design a harness and evaluation platform for a tool-using AI agent. The agent receives a user task, may ...
Design an LLM-Based Conversational Assistant (Chatbot)
This question evaluates the ability to design an end-to-end LLM-based conversational assistant, covering pretraining, alignment, retrieval, and servin...
Design Employee-to-Employee Distance
Design an employee-to-employee distance system for a large company. The system takes two employees as input and returns a meaningful "distance" (or, e...
Improve Keyword Search Ranking
This question evaluates an ML engineer's search system design competency, including information retrieval and ranking principles, feature and model se...
Design payment fraud detection
Design a machine learning system for fraud detection in an online payment platform. The system should score transactions before or shortly after autho...
Mine Novel Images from Unlabeled Data
Design a machine learning system that mines novel or interesting images from a massive, unlabeled image corpus. The corpus is far too large for exhaus...
Build an Ollama Eval Harness
Design and implement a lightweight evaluation harness for a language model served locally through Ollama. The harness should: - Read a dataset of eval...
Design a Fraud Detection System
Design a machine learning system for a fintech data-connectivity platform such as Plaid that detects fraudulent activity across the user lifecycle — b...