Machine Learning Engineer, Supply Chain Forecasting
Core
Research, development, and implementation of large model algorithms for supply chain scenarios including sales forecasting, replenishment planning, capacity planning, and inventory allocation.
Role type
Senior IC machine learning engineer (supply chain forecasting)
Builds
Intelligent decision-making solutions for supply chain operations
Domain
Supply chain management + Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Large model application (Pre-training, Continuous Pre-training, Supervised Fine-Tuning, Reinforcement Learning, AI Agents), Python, PyTorch, TensorFlow, LLaMA Factory, algorithm design, real-world business scenario implementation
Preferred skills
Published work in top-tier ML conferences (KDD, NeurIPS, ICML, etc.), ML competition success, agentic system development
Technologies
LLaMA Factory, PyTorch, TensorFlow, Python
Responsibilities
Lead research and iterative improvement of multi-scenario supply chain forecasting algorithms; Apply large model technologies to business scenarios; Collaborate with business teams to realize algorithm value and enhance operational efficiency.
