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Jobs · Management · Washington

2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student Science Recruiting

Amazon · Seattle, WA · 3 wk ago
ManagementFull-time

About the role

Unleash Your Potential at the Forefront of AI Innovation
At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities.

Responsibilities

  • Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
  • Design, development and evaluation of highly innovative ML models for solving complex business problems.
  • Research and apply the latest ML techniques and best practices from both academia and industry.
  • Think about customers and how to improve the customer delivery experience.
  • Use and analytical techniques to create scalable solutions for business problems.

Requirements

  • Are enrolled in a PhD
  • Can relocate to where the internship is based
  • Experience programming in Java, C++, Python or related language
  • Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages

Qualifications

  • Must be available for full-time (40 hours per week) internship for the whole duration of the internship

Benefits

A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Design, development and evaluation of highly innovative ML models for solving complex business problems.
- Research and apply the latest ML techniques and best practices from both academia and industry.
- Think about customers and how to improve the customer delivery experience.
- Use and analytical techniques to create scalable solutions for business problems.

Pay

Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

Schedule

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location.
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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