Apple Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
"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."
"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."
Write a generator for substring pattern matches
Problem Write a generator that scans a string and emits a value whenever a substring matches a given pattern. Input - A string s - A string pattern (n...
Design a multimodal RAG assistant
Prompt Design a Retrieval-Augmented Generation (RAG) system that can answer user questions using an internal knowledge base containing multiple modali...
Implement TF-IDF scoring for documents
Problem Implement a simplified TF–IDF scorer. You are given: - A list of documents docs, where each document is a string. - A query string q. Tokeniza...
Implement bag-of-words similarity search from scratch
Implement a bag-of-words–based text similarity search engine from scratch. Write code that: ( 1) tokenizes text (lowercasing, punctuation handling, Un...
Explain annotation agreement and LLM vs human judges
Annotation Agreement Rate: Definition, Measurement, Limitations, and LLM-as-Judge Practices Context In labeling datasets and evaluating models, we oft...
Design an ML keyword recommendation pipeline
ML System Design: Typed Search Keyword Recommendations for an App Marketplace Goal Design an end-to-end ML pipeline that, given a user query (e.g., "g...
Describe recent project experiences
Behavioral: Walk Through Two Recent ML Projects Context: Technical screen for a Machine Learning Engineer. Focus on technical depth, measurable busine...