Applied Science Internship, Amazon University Talent Acquisition

vor 2 Wochen

Graz, Österreich Amazon.com Vollzeit

DESCRIPTION

Are you a MS or PhD student interested in a 2025 Internship in the field of 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 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;

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, 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.

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.

BASIC QUALIFICATIONS

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

Job details
- AUT, Graz
- Internships for students
- Machine Learning Science

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