Описание

We're building systems that turn research into real-world impact — powering sports experiences for millions of Prime Video customers, pioneering multimodal document intelligence, building autonomous AI agents that reason, plan, and act, and transforming how customers discover products they love.

Responsibilities

Own the design and development of end-to-end systems
Write technical white papers
Create roadmaps
Drive production level projects that will support Amazon Science
Work closely with Amazon scientists and other science interns to develop solutions and deploy them into production
Design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture

Requirements

Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
Experience programming in Java, C++, Python or related language
Speak, write, and read fluently in English

Nice to have

Have publications at top-tier peer-reviewed conferences or journals
Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in designing experiments and statistical analysis of results
Experience implementing algorithms using toolkits and self-developed code

We offer

All of our internships offer a competitive salary
Interns are paired with an experienced manager and mentor(s)
Interns get invited to different intern program or office events
Interns can build their professional and personal network with other Amazon Scientists
Start dates are available throughout the year
Some teams offer full-time internships (3–6 months) while others offer part-time positions (50–60%, 8–12 months)
We offer science internships in multiple locations across the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, South Africa, Spain, Sweden, UAE, and UK)
We do not offer remote internships

Hiring process

You'll submit a single application and we'll match you with science teams best aligned with your research interests
Applications are reviewed on a rolling basis, and your application stays active until we find a team match or confirm there are no matches available
Your recruiter will confirm the format (full-time or part-time) during team matching
Interns may be considered for a return offer at the end of their internship, subject to performance evaluation and headcount availability