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.
Responsibilities
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.
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.
Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Requirements
Bachelor or advanced degree in computer science or a related technical discipline.
Excellent coding skills. Solid knowledge of data structure and algorithms.
Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
Preferred
Publication records in top journals or conferences will be a plus.
Experience winning ACM-ICPC medals will be a plus.
3+ years of machine learning experience
Good product sense with a focus on user experience.
Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
