Job Description
About the Team The E-commerce After-sales Algorithm Team is dedicated to building intelligent, fair, and efficient post-purchase service systems. We leverage advanced AI technologies to improve refund and return processing, dispute resolution, merchant responsibility attribution, customer service automation, and overall buyer experience.
We focus on balancing user experience, merchant ecosystem health, and platform risk control, ensuring sustainable e-commerce growth. Responsibilities - Develop and optimize machine learning / deep learning models for after-sales scenarios such as refunds, returns, cancellations, disputes, and compensation.
- Build intelligent decision-making systems for responsibility attribution and dispute resolution between buyers and sellers.
- Develop NLP and multimodal models to analyze customer service conversations, complaint texts, product descriptions, and evidence materials.
- Build predictive models to proactively identify high-risk transactions...
We focus on balancing user experience, merchant ecosystem health, and platform risk control, ensuring sustainable e-commerce growth. Responsibilities - Develop and optimize machine learning / deep learning models for after-sales scenarios such as refunds, returns, cancellations, disputes, and compensation.
- Build intelligent decision-making systems for responsibility attribution and dispute resolution between buyers and sellers.
- Develop NLP and multimodal models to analyze customer service conversations, complaint texts, product descriptions, and evidence materials.
- Build predictive models to proactively identify high-risk transactions...