2024 Applied Scientist Internship

Amazon Internships have start dates throughout the year and can vary in length from 3-6 months for full-time. Please note these are not remote internships.

Are you a MS or PhD student interested in a 2024 Internship in the field of Applied Sciences? Are you interested in machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for scientists with interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.

Key job responsibilities

As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Basic Qualifications

• Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
• Experience in any programming language such as Python, Java, C++, or similar scripting and programming languages

Preferred Qualifications

• Publications at top-tier peer-reviewed conferences or journals
• Experience in design of experiments and statistical analysis
• Experience implementing algorithms using toolkits and self-developed code
• Experience in solving business problems through machine learning, data mining and statistical algorithms
• Familiar with the core undergraduate curriculum of computer science
• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule trade-offs and new opportunities with technical team members
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form
• Amazon values knowledge of Accessibility in relation to its products, devices, services, websites or environments, so as to be usable by people with disabilities
• Previous corporate work experience is not required

1e127ede32d8f816eacfb0aed73cee11