About this role
Summary: Join Amazon's research teams as an Applied Science Intern to build large-scale machine learning systems and solve real-world robotics problems using big data and statistical techniques.
Are you a MS or PhD student interested in a 2026 Applied Science Internship in the field of Robotics?
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?
If this describes you, come join our research teams at Amazon.
Key job responsibilities
As an Applied Science Intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
We are looking for scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Basic qualifications
Are enrolled in a Bachelor's degree or above in computer science, machine learning, engineering, or related fields
High Degree of Proficiency in any programming language such as Python, Java, C++, SQL, Python, or similar scripting and programming languages
Preferred qualifications
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.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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