2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting

About the role

Amazon is seeking graduate student scientists to work on machine learning research and applications. This internship offers the opportunity to conduct research into the theory and application of deep reinforcement learning, working on complex problems with product managers, scientists, and software engineers. You will propose and deploy solutions drawing from areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.

Responsibilities

• 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

Basic Qualifications

• Enrolled in a PhD program
• Available for full-time (40 hours per week) internship for the whole duration of the internship
• 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

Preferred Qualifications

• 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

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

Pay

142,800.00 - 193,200.00 USD annually (Corvallis, OR and Seattle, WA locations).

Benefits

• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• 401(k) matching