Tiktok - San Jose, CA
posted 3 days ago
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The e-commerce alliance team is focused on serving merchants and creators within the e-commerce platform, aiming to meet business indicators for merchants while enhancing the creative efficiency of creators. This role is crucial in providing high-quality content and a personalized shopping experience for TikTok users, as well as developing efficient shopping tools at seller centers and promoting collaboration between merchants and creators. We are actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This position is centered on the development and implementation of innovative machine learning solutions specifically tailored for our recommendation systems in the E-Commerce sector. The successful candidate will collaborate closely with cross-functional teams, providing expert insights and influencing critical decision-making across various areas of our business. The role requires a strong foundation in machine learning, deep learning, and data analysis, as well as the ability to communicate complex technical concepts effectively to diverse audiences. The Applied Scientist will be responsible for designing, developing, and deploying sophisticated machine learning algorithms to enhance the performance of our recommendation systems. This includes utilizing machine learning, natural language processing (NLP), and computer vision (CV) techniques to analyze real-world signals generated from products, creators, merchants, and e-commerce transactions. The candidate will also be tasked with formulating end-to-end machine learning models for recommendation systems, ensuring their efficient operation, and analyzing extensive datasets to extract meaningful insights that facilitate data-driven decision-making. Additionally, the role involves designing and executing experiments to optimize recommendation functions and boost user satisfaction, while adhering to stringent data governance and privacy protocols.