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Internship

2024 Fall Applied Science Internship - United States, PhD Student

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Amazon

9d ago

🚀 Off-cycle Internship

Seattle +7

AI generated summary

  • You must be a Ph.D. student in computer science or related field, with experience in experimental design, statistical analysis, algorithm implementation, and programming. Preferred qualifications include technical fluency and peer-reviewed publications.
  • You will design, develop, and deploy end-to-end systems, working closely with Amazon scientists and interns to drive production projects in a fast-paced, customer-focused environment.

Off-cycle Internship

DataSeattle, Boston, Arlington, Santa Clarita, New York, Quincy, Palo Alto, Bellevue

Description

  • Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems

Requirements

  • Basic Qualifications:
  • Enrolled in a Ph.D. or equivalent 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:
  • Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
  • 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.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Data

Responsibilities

  • A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems
  • Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work

Details

Work type

Full time

Work mode

office

Location

Seattle, Boston, Arlington, Santa Clarita, New York, Quincy, Palo Alto, Bellevue