2024 Summer Applied Science Internship - Machine Learning - United States, PhD Student Science Recruiting

Amazon

Oct 20, 2023

Applications are closed

Internship
Full-time
Summer Internship
Data
Seattle

Requirements

Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
Experience in designing experiments and statistical analysis of results.
Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.
PREFERRED QUALIFICATIONS:
Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
Publication(s) at peer-reviewed conferences or journals.
Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Responsibilities

We are seeking a candidate who thrives in dynamic environments, embraces uncertainty, and possesses a meticulous eye for detail. As an Applied Science Intern, you will take charge of designing and building comprehensive systems from start to finish. This role offers the chance to craft technical roadmaps and spearhead projects of significant impact, bolstering the efforts of Amazon Science. Collaborating closely with Amazon scientists and fellow interns, you will develop innovative solutions and seamlessly implement them into production. The ideal scientist will excel in collaborating with diverse groups and cross-functional teams to tackle intricate business challenges.
Amazon Science offers a glimpse into the company’s commitment to customer-obsessed scientific innovation. At Amazon, we firmly believe that scientific breakthroughs are crucial to being the worlds most customer-centric company. It is our ability to make a significant impact on a global scale that enables us to attract the brightest minds in artificial intelligence and related fields. Our scientists employ the use our working backwards approach to revolutionize the way we live and work, constantly enriching our lives with their groundbreaking discoveries.

Amazon

Retail & Consumer Goods

Industry

10,001+

Employees

1994

Founded Year

Mission & Purpose

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.