Senior Machine Learning Engineer - TikTok E-commerce Global Supply Chain and Logistics
Core
Build deep learning and statistical models for end-to-end ETA prediction, logistics network knowledge graphs, trajectory sequence analysis, and service network design to optimize e-commerce logistics operations and reduce costs.
Role type
Senior Machine Learning Engineer (Supply Chain & Logistics)
Builds
Production ML models for ETA prediction, situational awareness systems, and service network design
Domain
E-commerce, Global Supply Chain, Logistics
Deliverable
production ML models
Required skills
Deep learning, statistical inference, data mining, operations research, graph construction, spatio-temporal trajectory prediction, service network design
Preferred skills
E-commerce domain expertise, academic publications in top ML/OR conferences, 3+ years experience in ML/OR/big data
Technologies
TensorFlow, PyTorch, Hive, Spark, MapReduce, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks
Responsibilities
Build deep learning models for ETA prediction; construct logistics network knowledge graphs; analyze and predict spatio-temporal package trajectories; design service networks for transshipment centers; extract optimization directions for logistics operations; develop state-of-the-art logistics algorithms
Seniority
Senior, hands-on IC
