Fall Applied Science Internship - Reinforcement Learning & Optimization; Machine Learning

Unlock the Future with Amazon Science! Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary‑pushing graduate student scientists who can turn revolutionary theory into awe‑inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting‑edge techniques in Bayesian optimization, time series, multi‑armed bandits and more.

• Develop scalable, efficient, automated processes for large‑scale data analyses, model development, model validation and model implementation.
• Design, develop, and evaluate 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 analytical techniques to create scalable solutions for business problems.

• 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 analytical techniques to create scalable solutions for business problems.

• 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:
  Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
• Must be available for full‑time (40 hours per week) internship for the whole duration of the internship

• Have publications at top‑tier peer‑reviewed conferences or journals
• Experience in state‑of‑the‑art deep learning models architecture design and deep learning training and optimization and model pruning

Locations:
Arlington, VA;
Bellevue, WA;
Boston, MA;
New York, NY;
Palo Alto, CA;
San Diego, CA;
Santa Clara, CA;
Seattle, WA.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.