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Applied Science Internship, Amazon University Talent Acquisition, Graz
Client:
Amazon Development Center Austria GmbH - E29
Location:
Graz, Austria
Job Category:
Other
EU Work Permit Required:
Yes
Job Reference:
c6dd6d4e10c4
Job Views:
2
Posted:
15.03.2025
Expiry Date:
29.04.2025
Job Description:
Are you an 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.
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.
Some more benefits of an Amazon Science internship include:
1. All of our internships offer a competitive stipend/salary
2. Interns are paired with an experienced manager and mentor(s)
3. Interns receive invitations to different events such as intern program initiatives or site events
4. Interns can build their professional and personal network with other Amazon Scientists
5. 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.
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