Applied Vision Intern: Build Advanced CV Models

Amazon; Boston (MA); On-site; USD 122,000 - 149,000; Full time

Benefits offered by this job

401(k) matching

Employee assistance program

Mental health support

Job summary

Amazon is seeking a Computer Vision Applied Science Intern to shape the future of visual intelligence. You will work with world-class researchers to develop scalable algorithms for Rekognition, Visual Search, and related services, tackling challenging problems at scale.

The role emphasizes collaboration, mentorship, and contributions to production systems. The ideal candidate is pursuing a PhD, can relocate to internship locations, and has strong skills in CV, deep learning, and programming

Qualifications

• Enrolled in a PhD and eligible for full-time internship for the duration of the program.
• Proven depth in a research area with publications, thesis work, or equivalent.
• Experience programming in Java, Python, C or C++.

Responsibilities

• Collaborate with Amazon scientists to develop and deploy cutting-edge computer vision solutions into production.
• Tackle complex challenges using Vision-Language Models, Object Recognition, LLMs, and Robotics.
• Contribute to technical white papers and roadmaps supporting Amazon Science.
• Engage in knowledge-sharing and mentorship to grow as a professional.

Skills

Vision-Language Models

Object Recognition

Computer Vision

Large Language Models

Programming Languages

Facial Recognition

Image Retrieval

Deep Learning

Video Understanding

Robotics

Education

PhD candidate in a relevant field

Tools

Java

Python

C/C++

Job description

Amazon is seeking a Computer Vision Applied Science Intern to shape the future of visual intelligence. You will work with world-class researchers to develop scalable algorithms for Rekognition, Visual Search, and related services, tackling challenging problems at scale.

The role emphasizes collaboration, mentorship, and contributions to production systems. The ideal candidate is pursuing a PhD, can relocate to internship locations, and has strong skills in CV, deep learning, and programming