2026 Fall Applied Science Internship - Computer Vision - United States, Phd Student Science Recruiting

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

This internship focuses on developing and implementing cutting-edge computer vision algorithms and models for Amazon's consumer-facing products and services, such as Rekognition, Go, and Visual Search. The role involves working with large-scale systems, including mobile robots and advanced tooling, to solve real-world problems. Interns will contribute to production-level projects, technical white papers, and roadmaps, with a strong emphasis on applied science and deep learning in computer vision, potentially involving Vision-Language Models and LLMs.

What you'd actually do

  1. Develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas of visual intelligence.
  2. Tackle challenging, groundbreaking research problems to 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.
  3. Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting edge computer vision solutions into production.
  4. Dive into complex challenges, leveraging your expertise in areas such as Vision-Language Models, Object Recognition/Detection, Large Language Models (LLMs), Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, and Robotics.
  5. Contribute to technical white papers, create technical roadmaps, and drive production-level projects that will support Amazon Science.

Skills

Required

  • Enrolled in a PhD
  • Experience programming or scripting language like Python, Java, C or C++
  • Eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

What the JD emphasized

  • publications at top-tier peer-reviewed conferences or journals

Other signals

  • develop cutting-edge algorithms and models
  • power our groundbreaking computer vision services
  • build innovative solutions where visual input helps customers shop
  • develop and implement novel, scalable algorithms and modeling techniques
  • advance the state-of-the-art in areas of visual intelligence
  • build solutions where visual input helps the customers shop
  • develop and deploy cutting edge computer vision solutions into production