Machine Learning Engineer - Logistics Fulfillment
Core
Implementing AI and operations research algorithms to optimize global logistics and fulfillment processes, from warehouse distribution to last-mile delivery.
Role type
Senior Machine Learning Engineer (Logistics & Supply Chain)
Builds
Intelligent order batching, route planning, labor scheduling, and network planning systems for global e-commerce logistics.
Domain
E-commerce, Supply Chain, Logistics
Deliverable
production ML models
Required skills
Deep reinforcement learning, Operations research optimization, Large language models (LLM), Python, Java, C++, R, Data structures and algorithms
Preferred skills
Publications in top CS conferences (NeurIPS, ICML, etc.) or OR journals, Experience in logistics/supply chain algorithm implementation
Technologies
Reinforcement learning frameworks, LLMs, Integer programming, Stochastic programming, Multimodal models
Responsibilities
Implement deep reinforcement learning for in-warehouse optimization (order batching, wave picking); Design algorithms for First-Mile/Last-Mile route planning and labor scheduling; Participate in global logistics network planning using LLMs; Develop intelligent scheduling for Middle-Mile trunk transportation; Explore AI innovation for image recognition and multimodal anomaly detection; Collaborate on productizing algorithms with cross-functional teams.