AI Agent Machine Learning Engineer Graduate (Global E-Commerce, Supply Chain and Logistics) - 2027 Start (PhD)
Core
Develop deep learning, operations research, and LLM-based AI Agent systems to optimize global e-commerce supply chain, logistics, inventory, and merchant growth.
Role type
PhD-level AI Agent Machine Learning Engineer
Builds
Intelligent AI Agents, logistics knowledge graphs, time-series forecasting models, and merchant growth algorithms
Domain
Global E-Commerce, Supply Chain, and Logistics
Deliverable
production ML models
Required skills
Deep learning, operations research, LLMs (Continual Pre-Training, SFT, RL), time series forecasting, NLP, Python, Java, TensorFlow, PyTorch
Preferred skills
Hands-on experience with LLMs and AI Agents in business scenarios, publications at top-tier AI conferences (KDD, NeurIPS, ICML, etc.), data mining competition experience
Technologies
Python, Java, TensorFlow, PyTorch
Responsibilities
Develop deep learning and operations research models for supply chain and logistics; Pioneer domain-specific LLMs and design AI Agents for autonomous issue resolution; Predict ETA and logistics events using deep learning and knowledge graphs; Forecast sales and demand using time series techniques; Build merchant mining and growth recommendation systems; Optimize merchandise traffic, conversion, and pricing strategies.
Seniority
PhD, Research & Development
