ML Knowledge Management Intern: Build AI Assets

Amazon; Boston (MA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon is seeking a graduate student scientist for an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will develop systems and frameworks to power AI capabilities, enabling discovery, reuse, and efficient asset management across ML teams.

Expect mentorship, cutting-edge resources, and a fast-paced research environment. Typical work involves experiments with Knowledge Graphs, NLP, DL, and ML ops, collaborating across teams to push the frontier

Qualifications

• Enrolled in a PhD program and able to relocate for the internship.
• Experience programming in Java, C++, Python or related language.
• Experience with Knowledge Graphs, ML, NLP, DL, LLMs, graph modeling, or related areas.

Responsibilities

• Develop frameworks and tools to manage ML assets from data to deployed models.
• Apply NLP and information retrieval to extract insights from large unstructured data.
• Collaborate with cross-functional teams to advance ML capabilities at Amazon.

Skills

Java

C++

Python

Knowledge Graphs

Machine Learning

Natural Language Processing

Deep Learning

Large Language Models

Education

PhD program enrollment

Tools

MxNet

TensorFlow

Job description

Amazon is seeking a graduate student scientist for an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will develop systems and frameworks to power AI capabilities, enabling discovery, reuse, and efficient asset management across ML teams.

Expect mentorship, cutting-edge resources, and a fast-paced research environment. Typical work involves experiments with Knowledge Graphs, NLP, DL, and ML ops, collaborating across teams to push the frontier