物流履约算法专家-国际电商
Core
Develop and deploy AI and operations research algorithms for global logistics fulfillment, optimizing warehouse operations, last-mile delivery, network planning, and middle-mile transportation using deep reinforcement learning and large language models.
Role type
Senior Machine Learning Engineer (Logistics & Supply Chain)
Builds
Fulfillment Technology systems, intelligent sorting and picking algorithms, delivery scheduling models, global logistics network planning tools, and multi-modal AI for exception handling.
Domain
E-commerce logistics, global supply chain, operations research
Deliverable
production ML models
Required skills
Deep reinforcement learning, Operations research (integer/stochastic programming), Large language models (LLM fine-tuning, multi-modal), Python/Java/C++/R, Data structures and algorithms
Preferred skills
Logistics or supply chain algorithm deployment experience, Publications in top ML conferences (NeurIPS, ICML, etc.) or OR journals
Technologies
Deep reinforcement learning frameworks, LLMs, Python, Java, C++, R
Responsibilities
Implement deep reinforcement learning for smart order sorting, wave picking, 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 and deploy middle-mile transportation scheduling and multi-modal AI for exception detection.
Seniority
Senior, hands-on IC
