Implement a Text-Embedding Recommender Training Pipeline
Company: LinkedIn
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: hard
Interview Round: Technical Screen
Overview: Design a local training pipeline for a text-embedding recommender using nested member profiles, item text, and clicked or skipped interactions. The exercise covers validation, embedding caches, feature joins, leakage-resistant splits, binary training, evaluation, and reproducible inference artifacts.
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