Design a cold-start video recommender
Company: Voleon
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: hard
Interview Round: Technical Screen
Overview: This question evaluates proficiency in ML system design for recommender systems, focusing on cold-start handling, integration of content and graph features, candidate generation and ranking, exploration–exploitation trade-offs, real-time feedback and model updates, and experimental metrics and guardrails.
Read the full Voleon Machine Learning Engineer interview experience this question came from