Algorithm Engineer Graduate (Global E-Commerce, Supply Chain and Logistics) - 2026 Start (PhD)
Core
Develop deep learning and operations research models for global e-commerce supply chain, logistics, and merchandise growth to optimize fulfillment speed, cost, and user experience.
Role type
PhD-level Algorithm Engineer (Supply Chain & Logistics)
Builds
Intelligent systems for logistics networks, ETA prediction, inventory forecasting, merchant mining, and merchandise traffic optimization.
Domain
Global E-Commerce, Supply Chain, Logistics
Deliverable
production ML models
Required skills
Deep learning, Operations research, Time series forecasting, NLP/LLM, Python, Java, TensorFlow, PyTorch, Machine learning, Statistics, Data analysis
Preferred skills
Publications at top ML conferences (KDD, NeurIPS, ICML, etc.), Data mining competition experience
Technologies
Python, Java, TensorFlow, PyTorch, NLP, LLM, Time series forecasting
Responsibilities
Build global logistic and warehousing network models; Create supply chain knowledge graphs and predict user needs; Optimize merchant/merchandise supply through mining and growth systems; Predict ETA and logistics events using deep learning; Forecast sales and inventory demand at various granularities; Develop algorithms for merchandise traffic and conversion prediction.
