Machine Learning Engineer - Global E-commerce (ETA, Pricing & Conversion)
Core
Build core algorithmic frameworks integrating physical logistics factors (delivery speed, shipping costs) into Search and Recommendation ecosystems to optimize impression allocation, dynamic pricing, and ETA prediction for global e-commerce.
Role type
Senior IC machine learning engineer (e-commerce algorithms & logistics)
Builds
Core algorithmic frameworks for Search, Recommendation, ETA prediction, and dynamic pricing
Domain
E-commerce, Logistics, Applied Machine Learning
Deliverable
production ML models
Required skills
Deep learning, Causal inference, Large Language Models (LLMs), A/B testing, Big Data processing, Spatio-temporal modeling
Preferred skills
Graph neural networks, Uplift modeling, RecSys ranking, Agentic workflows, Top-tier conference publications
Technologies
TensorFlow, PyTorch, Spark, Hive SQL
Responsibilities
Build and optimize end-to-end ETA prediction systems using deep learning; Design and implement intelligent shipping-fee pricing and subsidy strategies using Causal Inference; Integrate fulfillment factors into core Search and Recommendation ranking algorithms; Pioneer development of domain-specific LLMs and deploy intelligent AI Agents.
Seniority
Senior, hands-on IC
