Novel Data Mining from Large Unlabeled Datasets

Problem Overview

Design a machine learning system to discover, extract, and surface novel or high-quality data from a massive unlabeled dataset (images, medical records, or general web/LLM training data). The system must be able to bootstrap from a very small amount of labeled data and iteratively build a high-quality labeled dataset. Human…

• 5 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
• The rest of the problem statement — full requirements, constraints, and edge cases
• Approach and trade-offs — what passing candidates did, and the mistakes that sink people