Machine Learning Engineer Intern (Global E-Commerce, Platform Governance) - 2027 Start (PhD)
Core
PhD intern using advanced AI to detect risks, low-quality merchants/products/creators, and build data models to maintain e-commerce platform security and ecosystem quality.
Role type
PhD intern machine learning engineer (risk detection & graph learning)
Builds
scalable production ML models, large-scale graph storage/learning platforms, and data models for content understanding and risk governance
Domain
E-commerce platform governance and risk control
Deliverable
production ML models
Required skills
deep learning, graph neural networks, sequence learning, algorithm implementation, AI-agent project experience, theoretical foundation in machine learning
Preferred skills
published papers in top CS conferences, experience in data mining/search recommendation/governance, big data tools (Hive, Spark, Hadoop)
Technologies
PyTorch, TensorFlow, DGL, pyg, sklearn, numpy, pandas
Responsibilities
mine and predict risks/low-quality entities using algorithms; build data models to support business operations; build large-scale graph storage and learning platforms; research and implement cutting-edge ML/graph/sequence learning technologies
Seniority
PhD Intern
