Amazon.com Services LLC
Technology
2026AppliedScienceInternship-ReinforcementLearning&Optimization(MachineLearning)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“2026 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) at Amazon.com Services LLC. Skills: Reinforcement Learning, Optimization, Machine Learning, Deep Learning. Conduct research into theory and application of deep. Propose and deploy solutions”
What You'll Achieve.
Advance the state-of-the-art; Shape the future of AI; Propel humanity forward; Leave an indelible mark on the world of technology
Industry & Context.
Solve complex business problems; Solve complex business problems
What They're Looking For.
Must Have
Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where the internship is based, Experience programming in Java, C++, Python or related language, Experience with Optimization, Experience with Programming/Scripting Languages, Experience with Statistics, Experience with Reinforcement Learning, Experience with Causal Inference, Experience with Large Language Models, Experience with Time Series, Experience with Graph Modeling, Experience with Supervised/Unsupervised Learning, Experience with Deep Learning, Experience with Predictive Modeling
Nice to Have
Publications at top-tier peer-reviewed conferences or journals, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience
What You'll Do.
Conduct research into theory and application of deep
Propose and deploy solutions
Develop and implement novel
Develop and implement modeling techniques
groundbreaking research problems
Develop novel RL algorithms
Apply RL algorithms to complex
real-world challenges
automated processes for data analyses
automated processes for model development
automated processes for model validation
automated processes for model implementation
development and evaluation of highly innovative ML
Research and apply the latest ML techniques
Research and apply the latest ML best practices
Think about customers
Improve the customer delivery experience
Use analytical techniques to create scalable solutions
How You'll Work.
Team & Collaboration
Work with product managers; Work with scientists; Work with software engineers; Work alongside global experts; Work collaboratively with diverse groups; Work with cross-functional teams
Communication Scope
Communicate effectively
Full Job Description
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. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Optimization
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