2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting

Unleash Your Potential at the Forefront of AI InnovationAt Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can Basic qualifications: - 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 - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions Preferred: - Have publications at top-tier peer-reviewed conferences or journals - Experience building machine learning models or developing algorithms for business application Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. 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 . Seattle, WA, USA - 135,660.00 USD Annually