Machine Learning Engineer, Search - USDS

About the Team
The Search team is responsible for the search algorithm for TikTok's rapidly growing e-commerce and Local Services businesses. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best search experience, for more than 1 billion monthly TikTok users around the world.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities - What You'll Do
• Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end user experience.
• Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Use massive behavioral data to deeply model users' personalized interests.
• Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.