售后算法工程师-国际电商
Core
Develop and optimize machine learning/deep learning models for post-sales scenarios including refunds, returns, order cancellations, transaction disputes, and compensation.
Role type
Senior IC machine learning engineer (post-sales/risk)
Builds
Intelligent decision models for buyer-seller liability determination and dispute arbitration; predictive models for high-risk transaction identification.
Domain
E-commerce, risk control, fraud prevention
Deliverable
production ML models
Required skills
Machine learning, deep learning, natural language processing, multi-modal algorithms, feature engineering, A/B testing, Python, Go or C++, Linux development
Preferred skills
E-commerce post-sales experience, payment risk control, anti-fraud, intelligent customer service, liability determination system design, fairness-constrained decision systems, academic publications, international competition awards
Technologies
Python, Go, C++, Linux
Responsibilities
Build buyer-seller liability determination and dispute arbitration models; Analyze customer service dialogues, complaint texts, product info, and evidence using NLP and multi-modal algorithms; Optimize real-time and offline feature engineering for large-scale transaction data; Collaborate with product, operations, and engineering teams to deploy algorithms in production systems.
