2026 Applied Science Internships - ICLR

Amazon • Seattle, WA

1d • Onsite

About The Position

Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality for internships in 2026. Join our team of visionary scientists and embark on a journey to harnessing the power of cutting-edge techniques in deep learning and revolutionize the fields of artificial intelligence, data science, speech recognition, text understanding, robotics and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll be conducting research into the theory and application of deep 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. 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.

Requirements

• Are enrolled in a PhD
• Experience with programming languages such as Python, Java, C++
• Work 40 hours/week minimum and commit to 12 week internship minimum
• Can relocate to where the internship is based

Nice To Haves

• Experience in designing experiments and statistical analysis of results
• Have publications at top-tier peer-reviewed conferences or journals

Responsibilities

• Conducting research into the theory and application of deep learning
• Propose and deploy solutions that will likely draw from a range of scientific areas
• Develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning
• Tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges
• 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 and analytical techniques to create scalable solutions for business problems

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree