🔬 Applied Scientist Intern, Amazon University Talent Acquisition bei Amazon Development Center Germany GmbH - C92 in Berlin: Shape the Future of Generative AI and Robotics

DESCRIPTION

Are you a graduate student pursuing a Master's or PhD and looking for a high-impact internship in 2026? Amazon is searching for visionary talents in fields like machine learning, deep learning, generative AI, and robotics. This is your chance to turn theoretical knowledge into state-of-the-art solutions for real-world challenges.

As an Applied Science Intern, you will take full ownership of designing and developing end-to-end systems. You will create technical roadmaps, write white papers, and lead production-level projects that directly influence the Amazon Science community. Working alongside world-class scientists, you will develop and deploy innovative algorithms and models within a customer-obsessed environment.

This role requires the ability to collaborate across diverse, cross-functional teams to tackle complex business problems. At Amazon, your work has the potential to change the world while you grow both personally and professionally.

Benefits of an Amazon Science Internship

• Competitive stipend and salary packages
• Direct guidance from an experienced manager and dedicated mentors
• Exclusive access to intern program initiatives and networking events
• Opportunity to build a professional network with global Amazon Scientists
• Potential to publish original research at prestigious international conferences

Team and Logistics

Applications are reviewed on a rolling basis. Interns are matched with teams based on their specific research interests and prior experience. Internships typically last between 3 to 6 months and are available as full-time positions throughout the year. Please note that these roles are site-based and not remote.

BASIC QUALIFICATIONS

• Proficiency in programming languages such as Java, C++, or Python
• Currently enrolled in a PhD or Master's degree program in Computer Science, Machine Learning, Engineering, Statistics, or a related field

PREFERRED QUALIFICATIONS

• Existing publications in top-tier peer-reviewed journals or conferences
• Proven experience in experimental design and statistical analysis
• Ability to implement complex algorithms using both standard toolkits and custom code
• Track record of solving business challenges through data mining and machine learning

Amazon is an equal opportunity employer, valuing diversity as a core driver of success. We make hiring decisions based on your unique skills and passion for innovation. Your data privacy is our priority; please refer to our official privacy notice for more details.

Our inclusive culture empowers every Amazonian to deliver exceptional results. If you require any workplace accommodations during the application or onboarding process, please visit our dedicated accommodations page for assistance.