物流履约算法专家-国际电商
Core
Developing and deploying reinforcement learning, operations research, and large language model algorithms to optimize global logistics fulfillment across warehousing, first/last-mile delivery, middle-mile transport, and network planning.
Role type
Senior IC logistics algorithm engineer (global e-commerce)
Builds
Fulfillment Technology systems, dynamic routing and scheduling engines, labor optimization models, and supply chain simulation tools for global logistics networks.
Domain
Global e-commerce logistics and supply chain
Deliverable
production ML models
Required skills
Reinforcement learning, operations research (integer/stochastic programming), deep learning, large language models (LLM fine-tuning, multimodal), Python/Java/C++/R, data structures and algorithms
Preferred skills
Logistics/supply chain algorithm deployment experience, publications in top-tier computer science or operations research conferences/journals
Technologies
Python, Java, C++, R, LLMs, Reinforcement Learning frameworks, Optimization solvers
Responsibilities
Implement deep reinforcement learning for smart order allocation, wave picking, and dynamic packaging optimization; Build algorithms for first/last-mile route planning, merchant selection, and labor scheduling; Develop LLM-based supply chain simulation for network planning and profit/时效 analysis; Design middle-mile transport scheduling and dynamic path planning algorithms; Lead AI projects for image recognition and multimodal anomaly detection in warehouse operations.
Seniority
Senior, hands-on IC
