<p>About the Team: The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where "there are no hard-to-sell, overpriced products."</p> <p>Responsibilities - What You'll Do:</p> <ul> <li>Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. </li><li>Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. </li><li>Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology. </li><li>Provide guidance and mentorship to fellow teammates.Minimum Qualifications: </li><li>5+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business. </li><li>Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce. </li><li>Bachelor or advanced degree in computer science or a related technical discipline. </li><li>Excellent coding skills. Solid knowledge of data structure and algorithms. </li><li>Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. </li></ul>