May 12, 2021

Are you a MS or Ph.D. student interested in a 2021 Graduate Research Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning /Deep Learning?

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. As a Graduate Research Intern, you will have access to large datasets with billions of images and videos to build large-scale machine learning systems.

AREAS/LOCATIONS HIRING 

  • Machine Learning Science: Seattle, Palo Alto, Boston, New York, Pittsburgh, and Cupertino.
  • Speech and Language Technology: Seattle, Palo Alto, Boston, New York, Pittsburgh, and Cupertino.
  • Computer Vision and Robotics: Seattle/Bellevue, California Bay-Area, Southern California, Boston-Metro, New York, and Pittsburgh.

BASIC QUALIFICATIONS

  • Enrolled in a Master’s or Ph.D. degree in engineering, computer science, machine learning, operations research, statistics, 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 Ph.D. degree in engineering, computer science, machine learning, operations research, statistics, or related fields.
  • 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.
  • Publications at top-tier 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.

How to apply and for more information can be found via Amazon’s internal or external careers site.