About the role
Who you are
- You are a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods
- We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems
- The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience implementing algorithms using toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
What the job involves
- 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 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
- Interns are paired with an experienced manager and mentor(s)
- Interns receive invitations to different events such as intern program initiatives or site events
- Interns can build their professional and personal network with other Amazon Scientists
- Interns can potentially publish work at top tier conferences each year
- Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships
The application process
- Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
About the role
Who you are
- You are a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods
- We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems
- The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience implementing algorithms using toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
What the job involves
- 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 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
- Interns are paired with an experienced manager and mentor(s)
- Interns receive invitations to different events such as intern program initiatives or site events
- Interns can build their professional and personal network with other Amazon Scientists
- Interns can potentially publish work at top tier conferences each year
- Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships
The application process
- Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.