物流履约算法专家-国际电商
Core
Develop and deploy reinforcement learning, operations research, and large language model algorithms for global logistics fulfillment, covering warehouse operations, last-mile delivery, network planning, and middle-mile transportation.
Role type
Senior IC logistics algorithm engineer (global e-commerce)
Builds
Fulfillment Technology systems, intelligent sorting and routing models, labor scheduling solutions, and global logistics network planning tools.
Domain
Global e-commerce logistics and supply chain
Deliverable
production ML models
Required skills
Reinforcement learning, Operations research, Large language models, Python, Java, C++, R, Deep learning, Integer programming, Stochastic programming, Multi-modal models
Preferred skills
Logistics or supply chain algorithm deployment experience, Publications in top-tier conferences (NeurIPS, ICML, etc.) or journals (OR, MS, etc.)
Responsibilities
Implement deep reinforcement learning for smart order sorting and dynamic packaging optimization; Build algorithms for first/last-mile delivery planning and labor scheduling; Develop LLM-based simulation for global logistics network planning; Research AI for middle-mile dynamic path planning and exception handling; Collaborate on product design to operationalize algorithm solutions.
Seniority
Senior, hands-on IC
