2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting

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 Basic qualifications: - Are enrolled in a PhD - Can relocate to where the internship is based - Experience programming in Java, Python with PyTorch or JAX - 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 - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions - Must be available for full-time (40 hours per week) internship for the whole duration of the internship Preferred: - 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 - Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks) - Experience with AI-assisted development tools to accelerate research, coding, or evaluation 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