Applied Scientist • Intern

Who you are

You are a current MS or PhD student eager to dive into the world of applied science, particularly in machine learning and AI. Your academic background has equipped you with a strong foundation in various domains such as deep learning, generative AI, and computer vision. You thrive in collaborative environments and are excited about solving complex problems with diverse teams. Your ability to communicate effectively and work cross-functionally will be key to your success in this role.

You have a keen interest in developing state-of-the-art solutions and are motivated by the challenge of tackling never-before-solved problems. Your experience with algorithms and models will allow you to contribute meaningfully to projects that impact Amazon's customer-focused culture. You are adaptable and open to learning, ready to embrace the fast-paced nature of the tech industry.

What you'll do

As an Applied Scientist Intern at Amazon, you will take ownership of designing and developing end-to-end systems that leverage advanced technologies. You will collaborate closely with Amazon scientists and fellow interns to create innovative solutions that are deployed into production. Your responsibilities will include writing technical white papers, creating project roadmaps, and driving production-level projects that support the Amazon Science community.

You will have the opportunity to design new algorithms and models, contributing to projects that push the boundaries of technology. Your work will involve utilizing your domain expertise to invent and implement solutions that enhance operational efficiency and customer satisfaction. You will engage in hands-on development, gaining practical experience while working in a supportive and dynamic environment.

What we offer

At Amazon, you will be part of a vibrant community of innovators and thinkers. This internship provides a unique opportunity to grow your skills and make a tangible impact on real-world projects. You will receive mentorship from experienced professionals and have access to resources that will help you develop your career in applied science. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.