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 2026 Applied Scientist Internship is open to MS or PhD students focusing on advanced technology fields such as quantum computing, machine learning, or robotics. The intern is responsible for designing and developing state-of-the-art, end-to-end technical systems. This role involves collaborating with Amazon scientists to create roadmaps, write technical white papers, and deploy production-level solutions for complex, unsolved problems.

Key Responsibilities

Own the design and development of end-to-end technical systems.

Write technical white papers to document findings and proposals.

Create project roadmaps and drive production level projects supporting Amazon Science initiatives.

Collaborate closely with Amazon scientists and other interns to develop and deploy solutions into production.

Design novel algorithms, models, or other technical solutions to solve complex business problems.

Required Skills

Experience with a programming language (e.g., Python, Java, C++).

Enrollment in a PhD or Master's degree program in a relevant field (e.g., Computer Science, Machine Learning, Engineering, Statistics).

Nice-to-have Skills

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

Experience designing experiments and conducting statistical analysis of results.

Experience implementing algorithms using toolkits and self-developed code.

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

Technology Tags

Quantum Computing

The internship explicitly lists quantum computing as one of the areas of interest for the Applied Scientist role.

Optimisation

Optimization is explicitly listed as a primary focus area for the Applied Scientist Intern role.

ML approaches

The internship strongly emphasizes machine learning, deep learning, and generative AI technologies.

Algorithms

The intern is expected to design new algorithms and implement existing ones to solve business problems.

Classical programming

The basic qualifications require experience with classical programming languages like Python, Java, or C++.

Statistics & probability

Preferred qualifications explicitly mention experience in designing experiments and statistical analysis of results.

Engineering design

The role involves the design and development of end-to-end systems and inventing state-of-the-art solutions.

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 and 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, Spain, South Africa, UAE, and UK).

Please note these are not remote internships.

Basic Qualifications

- Experience with any programming language such as Python, Java, C++
- 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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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