2026 Applied Scientist Intern, Amazon University Talent Acquisition

🏢 Amazon

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Role Type

🧪 Scientist / Researcher

Role Focus

📈 Apply Quantum

Seniority

🌱 Internship / Entry-Level

🌸 PhD / Postdoc

Employer Type

🏢 Industry

This internship role seeks MS or PhD students interested in applied science fields like quantum computing to join Amazon Science. The intern will be responsible for designing, developing, and implementing end-to-end technical systems. Key tasks involve writing technical white papers, creating roadmaps, and deploying new algorithms and models into production in collaboration with Amazon scientists. This position focuses on solving complex, never-before-solved problems using state-of-the-art solutions.

Key Responsibilities

Own the complete design and development lifecycle for end-to-end technical systems.

Produce technical white papers, develop project roadmaps, and manage production-level projects supporting Amazon Science.

Collaborate closely with Amazon scientists and other interns to develop technical solutions.

Design and implement new algorithms, models, or other advanced technical solutions.

Deploy developed solutions into production environments to support Amazon's customer focused culture.

Required Skills

Experience programming in Java, C++, Python, or a related language.

Currently enrolled in a PhD or Master's degree program in Computer Science, Machine Learning, Engineering, Operations Research, Statistics, or a related field.

Nice-to-have Skills

Publications in top-tier peer-reviewed conferences or journals.

Experience designing experiments and performing statistical analysis of results.

Ability to implement algorithms using both toolkits and custom-developed code.

Experience solving business problems using machine learning, data mining, and statistical algorithms.

Technology Tags

Quantum Computing

The job scope explicitly lists quantum computing as a relevant field of interest for the intern.

ML approaches

The internship focuses heavily on machine learning, deep learning, and related AI approaches.

Optimization

Optimization and Operations Research are explicitly listed as relevant fields for the internship.

Operations Research

Operations research is explicitly listed as a key field of interest for the intern role.

Classical programming

The basic qualifications require programming experience in classical languages like Java, C++, and Python.

Statistics & probability

The role requires expertise in Statistics and probability, reflected in degree requirements and preference for statistical analysis experience.

Computer Science

A Master's or PhD in Computer Science is listed as a required educational background for applicants.

Source Job Description

Description

Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!

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.

You can find more information about the Amazon Science community as well as our interview process via the links below;

https://www.amazon.science/

https://amazon.jobs/content/en/career-programs/university/science

https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science

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 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 intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

A day in the life
At Amazon, you will grow into the high impact 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.

Some more benefits of an Amazon Science internship include;

• All of our internships offer a competitive stipend/salary
• 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

About the team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.

Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.

This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, South Africa, Spain, Sweden, UAE, and UK).

Please note these are not remote internships.

Basic Qualifications

- 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

Preferred Qualifications

- 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.