Software Development Engineer Intern 2025, AI/ML ID-2337
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.
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our interns write real software and collaborate with experienced software development engineers (SDEs) who guide interns on projects that matter to our customers.
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Key job responsibilities
- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
- Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.
- Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Ability to design and code the right solutions starting with broadly defined problems.
- Work in an agile environment to deliver high-quality software.
A day in the life
As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimization, scalability, and security – just to name a few.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalize for customers. We make the impossible, possible.
About The Team
At Amazon, we’re at the forefront of transformative AI, shaping the next generation of intelligent technologies. For over 25 years, we’ve been pioneering state-of-the-art AI and machine learning (ML) models to revolutionize customer experiences worldwide.
Now, we’re on the cusp of a new era, where AI holds the promise to reshape society and business in unprecedented ways. As part of our world-class team of AI experts—scientists, engineers, researchers, product builders, and public policy experts—here, you’ll have the opportunity to unlock the next frontiers of Artificial General Intelligence (AGI).
We are looking for the brightest minds from a wide range of backgrounds and experiences. Join us in creating transformative AI solutions that will improve lives, solve global challenges, and open up new realms of possibility—from reinventing commerce and accelerating enterprise productivity to advancing universal agents and shaping the future of robotics.
Basic Qualifications
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
- Are 18 years of age or older
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Currently enrolled in a Bachelors, Masters, or PhD in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields, with an expected graduation date between 10/2025 - 9/2028
Preferred Qualifications
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Candidates with strong interests and academic qualifications/research focus in: Artificial Intelligence, machine learning, and/or Generative AI