Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)
Core
Develop end-to-end machine learning models and algorithms to optimize inventory management, supply chain efficiency, and demand forecasting for TikTok's global e-commerce platform.
Role type
Senior IC machine learning engineer (demand forecasting)
Builds
Production forecasting models and scalable data pipelines for supply chain operations
Domain
E-commerce, global supply chain and logistics
Deliverable
production ML models
Required skills
time series forecasting, regression, classification, clustering, big data processing (PySpark), cloud platform deployment, data pipeline automation, model evaluation and optimization, anomaly detection
Preferred skills
e-commerce domain experience, logistics or supply chain domain experience, independent project management
Technologies
PySpark, cloud platforms
Responsibilities
Develop and implement end-to-end ML models for demand forecasting; collect, clean, and preprocess large-scale datasets; collaborate with data scientists to identify demand drivers; conduct exploratory data analysis on demand patterns; build scalable data pipelines for model training and prediction; evaluate and optimize time series forecasting models; integrate models into production systems; monitor model performance and address forecast errors; stay updated on ML advancements and apply them to team capabilities.
Seniority
Senior, hands-on IC
