Logo of Huzzle


2024 Summer Applied Science Internship - Computer Vision and Robotics - United States, PhD Student Science Recruiting

Logo of Amazon


2mo ago

🚀 Summer Internship

Seattle +3

AI generated summary

  • PhD student in computer vision or related field with experience in experimental design and statistical analysis, algorithm implementation, programming languages, technical fluency, publication record, and strong critical thinking and communication skills.
  • The candidate will work on building visual solutions, collaborating with scientists and interns, and developing end-to-end systems for Amazon Science, with a focus on targeted customer use-cases and solving complex business problems.

Summer Internship

Software Engineering, EngineeringSeattle, Boston, Sunnyvale, Santa Clara


  • Help us develop the algorithms and models that power computer vision services at Amazon, such as Amazon Rekognition, Amazon Go, Visual Search, and more! We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. 
  • 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. Amazon Scientist use our working backwards method to enrich the way we live and work.


  • Basic Qualifications:
  • Enrolled in a Ph.D. degree or equivalent in computer vision technologies, robotics, computer science, statistics, physics, engineering, or related topics.
  • 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.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • As an intern, you will help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers.
  • 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. You will own the design and development of end-to-end systems and have the opportunity to write technical white papers, 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.


Work type

Full time

Work mode



Seattle, Boston, Sunnyvale, Santa Clara