Tiktok - Seattle, WA
posted 2 days ago
As a Machine Learning Engineer in 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 business. This position is designed for graduates starting in 2024, and it offers a unique opportunity to work with state-of-the-art large-scale machine learning technologies, including cutting-edge natural language processing (NLP), computer vision (CV), and multi-modal technologies. Your contributions will directly impact the search experience for over 1 billion monthly active users on TikTok, as we strive to create a world where no good-priced product is hard to sell. In this role, you will be responsible for improving the basic search quality and user experience by optimizing query analysis and text relevance matching. You will delve into e-commerce video content to implement multi-modal matching techniques, enhancing users' perception of product authority. Your work will involve the design and implementation of core search products, aiming to comprehensively improve the end-to-end shopping experience from browsing to after-sales. Additionally, you will design and implement the end-to-end ranking system, which includes recall, first-stage ranking, final-stage ranking, and mixed row strategies. Your goal will be to enhance users' personalized shopping interests models and improve shopping conversion efficiency for merchandise, video, and live streams, ultimately promoting growth in gross merchandise volume (GMV). You will also be tasked with promoting the healthy development of the ecosystem by addressing industry challenges such as supply and demand matching, business cold starts, and sustainable business growth. This will require you to think critically, analyze data, and adjust the system's evolution to achieve long-term and sustainable GMV growth. This position is not just about technical skills; it is about co-creating a future driven by inspiration and innovation at TikTok.