How do I approach System Design interview questions?

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

What difficulty level is this interview question?

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

What role is this question designed for?

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

Design Apple News without ML

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design search and content-discovery architectures for a news application without a trained ranking model, assessing competencies in information retrieval, metadata extraction and indexing, rule-based ranking and heuristics, freshness and editorial signals, personalization heuristics, scalability, latency, and logging/evaluation. It is commonly asked to probe systems-design thinking and trade-offs between relevance, recency, safety, and operational constraints within the domains of system design and information retrieval, and it focuses on both conceptual architectural reasoning and practical implementation considerations.

Apple

Dec 17, 2025, 12:00 AM

Machine Learning Engineer

Onsite

System Design

Design an initial search and content-discovery system for a news application similar to Apple News, assuming you do not have a trained ranking model yet. Users should be able to search for articles, topics, and publishers, and the system should surface results that are relevant, fresh, safe, and reasonably personalized.

Discuss:

article ingestion and metadata extraction,
indexing and storage,
rule-based or heuristic ranking,
freshness handling,
topic and publisher filtering,
editorial signals,
scalability and latency,
logging and evaluation,
and how you would later evolve the system toward ML-based ranking.

Solution

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