Zillow 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."
Design a chunking strategy for RAG
You are building a Retrieval-Augmented Generation (RAG) system that uses an LLM plus a vector database. Before creating embeddings and indexing docume...
Explain challenges in training multimodal LLMs
Machine Learning discussion Answer conceptually (no code). Assume you are training or adapting a multimodal large model (e.g., text + image, or text +...
Describe a recent project and your biggest challenge
Behavioral questions You have 5–10 minutes to answer, using a structured approach (e.g., STAR). 1. Self-introduction: Give a concise overview of your ...
Explain why LLMs produce hallucinations
Large language models (LLMs) are known to "hallucinate"—that is, they sometimes produce fluent, confident answers that are factually incorrect or unsu...
Write pseudocode for a ReAct-style loop
Coding prompt (pseudocode) Write pseudocode (does not need to compile) for a ReAct-style agent loop that alternates between reasoning and actions. Req...
Implement k-th largest in a number stream
You are designing a small library to monitor statistics over a stream of integers. Implement a data structure that, given an integer k and an initial ...
Implement placeholder-based pattern matcher
You are given: 1. A string s that may contain placeholders delimited by the % character. 2. A dictionary dict mapping keys (strings) to replacement va...
Find max min-plus-max over all subarrays
You are given an array arr of n integers. A subarray is a contiguous non-empty segment of the array. For any subarray arr[l..r] (0-indexed), define: \...