How do I approach ML System Design interview questions?

ML System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master ml system design interviews.

What difficulty level is this interview question?

This is a medium difficulty ML System Design question, commonly asked during Onsite rounds at Atlassian.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Atlassian during technical interviews.

Design a recommendation system for Jira issues

Last updated: Mar 29, 2026

Quick Overview

This question evaluates end-to-end ML system design competencies for recommendation services in an issue-tracking platform, covering data and labeling strategy, candidate generation and ranking, real-time serving, latency and scalability constraints, and permission-aware access control.

|Home/ML System Design/Atlassian

Design a recommendation system for Jira issues

Atlassian

Oct 11, 2025, 12:00 AM

mediumMachine Learning EngineerOnsiteML System Design

Submit Your Answer to Earn 20XP

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Design a recommendation system for Jira issues

Last updated: Mar 29, 2026

Quick Overview

|Home/ML System Design/Atlassian

Design a recommendation system for Jira issues

Atlassian

Oct 11, 2025, 12:00 AM

mediumMachine Learning EngineerOnsiteML System Design

Submit Your Answer to Earn 20XP

Loading comments...

Browse More Questions

More ML System Design•More Atlassian•More Machine Learning Engineer•Atlassian Machine Learning Engineer•Atlassian ML System Design•Machine Learning Engineer ML System Design

Your design canvas — auto-saved