TikTok Shop aims to connect customers with excellent sellers and quality products through live-streaming, short videos, and recommendations. The E-commerce recommendation team is focused on developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions by applying large-scale machine learning to solve real-world problems in E-commerce.
Requirements
- 3+ years of working experience in one of the following fields: recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
- Experience in leading an engineering team
Responsibilities
- Lead the team to design, build, optimize large-scale (10 million to 100 million) e-commerce recommendation algorithm pipeline
- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
- Build, expand and manage the global e-commerce recommendation team from scratch
- Collaborate with strategy team, product managers, policy team and ops team to define products and drive initiatives from engineering viewpoints
Other
- Bachelor's degree in Computer Science or related technical field
- Strong sense of responsibility and good at communication and teamwork
- Passionate about solving complex and challenging problems
