Job Description
What You'll Do:
Catalog Enrichments & AdSafety is a team whose goals are to develop/maintain the Universal Catalog and ML projects mostly based on Natural Language Processing (NLP). As a ML Engineer in our team, you will:
Build the future of product representation and retrieval across our ecosystem. Once our prototypes and ideas show value, we push them into production: whether that means generating embeddings for billions of items, supporting large-scale retrieval indexes, or serving models under tight latency budgets. Our engineering teams ensure these models operate reliably and scale seamlessly.
Design and implement machine learning models for product classification and enrichment, tailored to our unique latency and scalability requirements.
Work with the agility of a medium-sized data and machine learning team and the reach of a company-wide platform. You’ll move quickly on ambitious ideas and measure their impact thro...
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