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.
Key job responsibilities:
1. As an Applied Science Intern, you will own the design and development of end-to-end systems.
2. You'll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.
3. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production.
4. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture.
5. 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.
BASIC QUALIFICATIONS
* Experience programming in Java, C++, Python or related language.
* Speak, write, and read fluently in English.
* 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.
* Experience in designing experiments and statistical analysis of results.
* Experience implementing algorithms using toolkits and self-developed code.
* Experience in solving business problems through machine learning, data mining and statistical algorithms.
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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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