Tiktok - San Jose, CA
posted 4 days ago
As a Machine Learning Engineer on the Search E-commerce team at TikTok, you will play a pivotal role in enhancing the search algorithm for our rapidly expanding global e-commerce platform. This position is centered around utilizing state-of-the-art large-scale machine learning technologies, including cutting-edge natural language processing (NLP), computer vision (CV), and multi-modal technologies. Your primary mission will be to develop and optimize the industry's leading search engine, ensuring that over 1 billion monthly active users have access to the best e-commerce search experience possible. You will be tasked with improving the basic search quality and user experience by optimizing query analysis and text relevance matching. This involves a deep understanding of e-commerce video content and implementing multi-modal matching techniques to enhance users' perception of product authority. You will also be involved in the design and implementation of core search products, aiming to comprehensively improve the end-to-end shopping experience from browsing to after-sales. In addition to improving search quality, you will design and implement an end-to-end ranking system that includes recall, first-stage ranking, final-stage ranking, and mixed row strategies. Your work will focus on enhancing users' personalized shopping interests models and improving shopping conversion efficiency for merchandise, video, and live streams, ultimately promoting growth in gross merchandise volume (GMV). Furthermore, you will contribute to the healthy development of the e-commerce ecosystem by addressing challenges such as supply and demand matching, business cold starts, and sustainable business growth. Your analytical skills will be crucial in thinking through, analyzing, and adjusting the evolution of the system to achieve long-term and sustainable GMV growth.