DESCRIPTION Job summary Please note we may also have internship opportunities in Austria, France, Ireland, Israel, Italy, Luxembourg, Poland, Spain, UK Are you a MS or PhD student interested in a 2023 Internship in the field of Applied Sciences? Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way? We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, 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. If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern. * Competitive pay * Impactful project and internship/role deliverables * Hybrid working (team dependent) * Networking opportunities with fellow interns * Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions. * Mentorship and career development If this describes you, come join our research teams at Amazon. We are looking for motivated students with research interests in a variety of domain expertise in applied sciences to build state-of-the-art solutions for never before solved problems. If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies Internship start dates vary throughout the year. Internship length can vary between 3 - 6 months for Full Time and 6 - 12 months for Part Time. Key job responsibilities * Work closely with scientists and engineering teams (position-dependent) * Work on an interdisciplinary team on customer-obsessed research * Design new algorithms, models, or other technical solutions * Experience Amazon's customer-focused culture BASIC QUALIFICATIONS * Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields * Experience in any programming language such as Python, Java, C++, or similar scripting and programming languages PREFERRED QUALIFICATIONS * Publications at top-tier peer-reviewed conferences or journals. * Experience in design of experiments and statistical analysis * Experience implementing algorithms using toolkits and self-developed code * Experience in solving business problems through machine learning, data mining and statistical algorithms * Familiar with the core undergraduate curriculum of computer science. * Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members. * Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form. Please note this is not a remote internship opportunity EU Student Programs Team 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. m/w/d

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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Amazon 

Amazon is offering a 2023 Internship in the field of Applied Sciences for MS or PhD students. The intern will work closely with scientists and engineering teams, work on an interdisciplinary team on customer-obsessed research, design new algorithms, models, or other technical solutions, and experience Amazon's customer-focused culture. The internship start dates vary throughout the year and the length can vary between 3 - 6 months for Full Time and 6 - 12 months for Part Time. This is not a remote internship opportunity.

2023 Applied Science Internship - Machine Learning, Deep Learning, AI, Continual Learning (m/w/d)

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