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Machine Learning Engineer - E-Commerce Recommendation Live

TikTok • Seattle, WA, US • published 2026-10-09 03:03:30.758615

Description

Technology Machine Learning Engineer \- E\-Commerce Recommendation Live **Location :** Seattle **Employment Type :** Regular **Job Code :** A254886 Responsibilities About the Team Live commerce may be the hardest recommendation problem at TikTok. The "item" is a live room hosted by a real person: the product on display, the price, the crowd and even the auction clock change by the second. Purchase signals are sparse, intent shifts in real time, and a single session can take a user from a short video to a live room to checkout in under a minute. It is also a business growing at remarkable speed. Content\-driven live commerce has already reshaped retail in another major market, turning a content platform into one of its top three e\-commerce players within a few years. TikTok Shop is now scaling that model rapidly across the US and global markets, with live commerce at the heart of its growth. The Global E\-commerce Recommendation Live Algorithm team owns the end\-to\-end recommendation stack for TikTok Shop LIVE, from retrieval and pre\-ranking to ranking, mixed ranking and long\-term value modeling. One unified stack serves seven core surfaces, spanning public discovery and private...

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