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Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start

San Jose, United States of America💼 Full-time🗓 2026-09-28

Core

Constructing and developing vast knowledge graphs to encapsulate real-world products, aiding in feed ranking, recommendations, and ads.

Role type

Machine Learning Engineer (Knowledge Graphs)

Builds

Knowledge graphs, knowledge maps, product/content insights, and category/brand/SPU development

Domain

E-commerce, Knowledge Graphs, NLP

Deliverable

production ML models

Required skills

Machine learning, NLP, Python, C++, Go, Java, Text classification, Text matching, Sequence labeling

Preferred skills

Deep learning frameworks (TensorFlow/PyTorch), Domain adaptation, Unsupervised/semi-supervised methodologies, Large-scale text data processing (Hadoop/Spark/Hive/Flink)

Technologies

TensorFlow, PyTorch, Hadoop, Spark, Hive, Flink

Responsibilities

Construct and develop vast knowledge graphs; Collaborate with product managers and data scientists; Craft intricate knowledge graphs; Architect knowledge maps detailing buyer and product connections

Seniority

Graduate (Entry-level)

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