Tiktok - Seattle, WA
posted 3 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 business. 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 TikTok users enjoy the best possible e-commerce search experience. You will be tasked with creating a world where no good-priced product is hard to sell, thereby driving significant growth in our e-commerce sector. In this role, you will focus on improving the basic search quality and user experience by optimizing query analysis and text relevance matching. You will need to understand e-commerce video content and implement multi-modal matching techniques to enhance users' perception of product authority. Your contributions will be crucial in the design and implementation of core search products, ultimately improving the end-to-end shopping experience from browsing to after-sales support. Additionally, you will design and implement an end-to-end ranking system that includes recall, first-stage ranking, final-stage ranking, and mixed row strategies. This will involve improving users' personalized shopping interests models and enhancing the shopping conversion efficiency for merchandise, video, and live streams to promote growth in gross merchandise volume (GMV). You will also be responsible for promoting the healthy development of the ecosystem by addressing industry challenges such as supply and demand matching, business cold starts, and sustainable business growth. Your analytical skills will be essential in thinking through, analyzing, and adjusting the evolution of the system to achieve long-term and sustainable GMV growth.