Tiktok - San Jose, CA
posted 3 months ago
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to over 1 billion users globally. The Search Ads team at TikTok is at the forefront of innovating and optimizing the monetization of search ads across various applications, including TikTok, TopBuzz, and BuzzVideo. This role offers the opportunity to work on large-scale distributed storage and architecture, as well as tackle complex problems related to Natural Language Processing (NLP), ranking, and information retrieval (IR). As a member of this team, you will be involved in the development of a globally leading Search Ads monetization system, focusing on enhancing ad formats, creative displays, and the return on investment (ROI) of ad delivery. In this position, you will participate in the development of a large-scale Ads system, taking responsibility for optimizing relevance models and strategies, including semantic matching models and ranking strategies. You will also engage in the development and iteration of Ads algorithms using Machine Learning techniques. Your work will involve improving NLP capabilities and query understanding, which includes tasks such as query classification, Named Entity Recognition (NER), and knowledge graph development. Additionally, you will be responsible for estimating the accuracy of click-through rate (CTR) and conversion rate (CVR) models, conducting data analysis, and performing feature engineering. Researching and developing Ads pacing algorithms and collaborating with product managers to define product strategy and features will also be key components of your role.