About the job
At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. 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.
Qualifications
Minimum
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
Must be available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred
Expertise in: 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