Select high-quality math documents from crawls
Company: OpenAI
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: hard
Interview Round: Onsite
Overview: This ML System Design question evaluates the ability to design scalable, production-grade pipelines for extracting and quality-scoring mathematical content from heterogeneous formats (HTML, PDF, scanned images), exercising concepts such as information extraction and OCR, document scoring and deduplication, licensing and safety enforcement, and operational monitoring. It is commonly asked because real-world applications must handle noisy, web-crawled data at scale while delivering measurable quality metrics and human review workflows, making it a practical probe of high-level system architecture, modeling trade-offs, and production operations.
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