Xai 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."
Implement dynamic batching for token decoding
You are given a black-box “simulated language model” interface that can advance many sequences in a batch. Model interface - Tokens are integers. - mo...
Identify all bad nodes with group tests
You have N nodes. Each node is either good or bad (unknown to you). You can call a function test(S) on a subset of nodes S: - test(S) = True iff all n...
Implement a trie-based tokenizer
Design and Implement a Trie-Based Subword Tokenizer for LLM Pretraining Context You are building a subword tokenizer for a large-scale LLM pretraining...
Design O(1) random-sampling set
Design a data structure that supports insert(x), remove(x), and get_random() that returns a uniformly random element among the present items, all in e...
Design a house-price prediction workflow
Predicting Home Sale Prices: End-to-End ML Design Context You have historical home-sale records with features such as lot area, year built, number of ...
Describe your research and contributions
10–15 Minute Research Project Overview (Technical Screen) Context You are interviewing for a Machine Learning Engineer role. Prepare a concise, techni...
Validate normalized palindromes with variants
Implement a function isNormalizedPalindrome(s) that returns true if s reads the same forward and backward after removing non‑alphanumeric characters a...
What are processes vs threads?
Question Explain the difference between multiprocessing and multithreading in the context of building concurrent applications. Cover the following: - ...
Design agentic workflow to generate a 1-hour movie
Prompt You’re asked to design an agentic workflow (multiple LLM/tools acting as “agents” under an orchestrator) that can generate a ~60-minute movie f...