Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start (PhD)
Core
Constructing and developing vast knowledge graphs to encapsulate real-world products, aiding in feed ranking, recommendations, and ads.
Role type
PhD-level Machine Learning Engineer (Knowledge Graphs)
Builds
Knowledge graphs, knowledge maps, product/content insights, and category/brand/SPU development
Domain
E-commerce, Knowledge Graphs, NLP, Computer Vision
Deliverable
production ML models
Required skills
Machine learning, NLP, multimodal systems, computer vision, C++, Python, Go, Java
Preferred skills
Deep learning frameworks (TensorFlow/PyTorch), text classification, text matching, sequence labeling, knowledge graphs, domain adaptation, text mining, unsupervised/semi-supervised methodologies, large-scale text data processing (Hadoop/Spark/Hive/Flink)
Responsibilities
Architect knowledge maps detailing buyer and product connections; Craft intricate knowledge graphs encompassing product/content insights and category/brand/SPU development; Collaborate with product managers and data scientists to craft forward-thinking product strategies and features
Seniority
PhD, Research & Development
