Design a product-feed recommendation system
Company: Atlassian
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Onsite
Overview: This question evaluates a candidate's competency in end-to-end machine learning system design for recommendation engines within the ML System Design domain, including scalability, candidate generation and ranking, feature and embedding pipelines, online serving, cold-start strategies, experimentation, and privacy/safety considerations.
Read the full Atlassian Machine Learning Engineer interview experience this question came from