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

Seattle, Washington · Internship · Posted Oct 28, 2026

Education
Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.

About the job

Develop knowledge graphs and maps that capture product, content, category, brand, SPU, buyer, and product relationships for e-commerce.

What you'll do

  • Build knowledge graphs for product and content insights and category, brand, and SPU development.
  • Design knowledge maps detailing buyer and product connections.

What they ask for

  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
  • Experience in at least one listed area, including LLMs, knowledge graphs, computer vision, or machine learning.
  • Strong coding skills in at least one of Python, Java, C/C++, or Spark, and familiarity with at least one of PyTorch, TensorFlow, or Keras.
  • Strong analytical and problem-solving skills.

Nice to have

  • Coursework or projects involving text classification, text matching, sequence labeling, or knowledge graphs.
  • Exposure to large-scale text processing tools such as Hadoop, Spark, Hive, or Flink; e-commerce or Internet industry experience is also preferred.

Tools

Python, Java, C/C++, Spark, PyTorch, TensorFlow, Keras, Hadoop

AI focus

Applies machine learning and related methods to e-commerce knowledge graphs, product/content insights, and buyer–product connections.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)