Vision AI Intern: Shape the Future of Visual Intelligence

Amazon Inc.

Seattle, Northern (WA, KY)

Hybrid

USD 122,000 - 149,000

Full time

5 days ago
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Job summary

Amazon.com Services LLC invites PhD students to join our Applied Science Internship in Computer Vision. You will build and evaluate cutting-edge vision algorithms that power services like Rekognition and Visual Search, collaborating with senior researchers and engineers worldwide.

As an intern, you’ll leverage state-of-the-art computing resources, publish findings where appropriate, and gain mentorship while contributing to customer-focused AI innovations across multiple Amazon platforms.

Qualifications

  • Enrolled in a PhD program with focus on computer vision or related field.
  • Willingness to relocate to internship base location as required.
  • Experience programming in Java, Python, C or C++; publications or thesis in relevant area preferred.
  • Must be eligible for full-time internship (40 hours/week) for the duration of the program.

Responsibilities

  • Develop and implement novel algorithms and models for visual intelligence and computer vision tasks.
  • Collaborate with cross-functional teams to translate research findings into production-ready solutions.
  • Contribute to technical white papers and roadmaps; support production-level projects for Amazon services.
  • Apply AI-assisted tools to accelerate research, evaluation, and prototyping; review outputs critically.

Skills

Java
Python
C
C++

Education

PhD candidate

Tools

Git
Jupyter

Job description

Amazon.com Services LLC invites PhD students to join our Applied Science Internship in Computer Vision. You will build and evaluate cutting-edge vision algorithms that power services like Rekognition and Visual Search, collaborating with senior researchers and engineers worldwide.

As an intern, you’ll leverage state-of-the-art computing resources, publish findings where appropriate, and gain mentorship while contributing to customer-focused AI innovations across multiple Amazon platforms.

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