Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Platform Governance) - 2026 Start (PhD)
Core
PhD-level ML engineer building risk detection algorithms and graph learning platforms to secure TikTok's e-commerce ecosystem and manage merchants, products, and creators.
Role type
Senior IC machine learning engineer (graph learning, risk control)
Builds
Large-scale graph storage/learning platforms, risk prediction models, and multimodal representation models for e-commerce governance
Domain
E-commerce platform governance, risk control, graph learning
Deliverable
production ML models
Required skills
deep learning, graph neural networks, sequence learning, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, PyTorch, TensorFlow, DGL, pyg, sklearn
Preferred skills
high-level conference publications (ACL, EMNLP, NIPS, AAAI), data mining, search recommendation, content understanding, Hive, Spark, Hadoop, numpy, pandas
Technologies
PyTorch, TensorFlow, DGL, pyg, sklearn, Hive, Spark, Hadoop
Responsibilities
Mine and predict risks/low-quality entities in e-commerce scenarios; build data models to improve product experience and ecosystem efficiency; build large-scale network/feature sequence models for content understanding and video management; build graph storage and learning platforms for community governance; implement cutting-edge ML/graph/sequence learning technologies in production.
Seniority
PhD graduate, hands-on IC
