Atlassian Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
"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."
Find a secret word using match feedback
This question evaluates algorithmic problem-solving, combinatorial reasoning, and information-theoretic search strategies for narrowing a secret from ...
Design an ML-powered search system
This question evaluates a candidate's ability to design end-to-end ML-powered search systems, testing competencies in information retrieval, ranking, ...
Design a Jira+Confluence RAG assistant
You are asked to design a simple Retrieval-Augmented Generation (RAG) system that answers employee questions using content from two internal products:...
Design Jira bug-to-team classification system
This question evaluates skills in machine learning system design, including supervised classification, feature extraction from textual and log data, l...
Design a scalable chatbot platform
This question evaluates a candidate's ability to design a scalable, production-grade chatbot platform that integrates ML-based inference, multi-turn c...
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 a product-feed recommendation system
This question evaluates a candidate's competency in end-to-end machine learning system design for recommendation engines within the ML System Design d...
Design a recommendation system for Jira issues
This question evaluates end-to-end ML system design competencies for recommendation services in an issue-tracking platform, covering data and labeling...
Compute moving and weighted averages from a stream
This question evaluates a candidate's understanding of streaming algorithms, sliding-window statistics, and resource-constrained data structure design...
Answer values interview behavioral questions
You are in a management/values interview. Prepare behavioral answers aligned to the company’s core values. Typical questions in this round include: - ...
Design O(1) cache and moving average
This question evaluates proficiency in data structures and streaming algorithms by combining an O(1) cache design with an eviction policy and a fixed-...
Compute moving average over last N stream
You are given an integer N and an unbounded stream of integers arriving one by one. After each new integer arrives, output the average of the last N i...
Compute a moving average on a stream
This question evaluates understanding of streaming data structures, sliding-window aggregation, and the time/space trade-offs involved in maintaining ...
Assign bookings to minimum tennis courts
This question evaluates interval scheduling and resource-allocation competencies, testing algorithmic and data-structure knowledge for handling time-i...
Find LCA in a tree and extend to a DAG
This question evaluates proficiency in graph algorithms and data structures, focusing on lowest common ancestor computation in rooted trees and its ge...
Compute inverse-depth weighted sum of a nested list
This question evaluates competency in working with nested data structures and depth-based aggregation, measuring the ability to reason about hierarchi...