Vision AI Research Internship - PhD (Fall 2026)

Amazon; Boston (MA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

RSUs

Mentorship

Job summary

Amazon is offering Computer Vision Applied Science Internships across multiple locations, including Boston, MA. You will develop scalable algorithms for visual intelligence, collaborate with world-class scientists, and contribute to production-ready research powering services like Rekognition and Visual Search.

The role emphasizes hands-on development, exploration of deep learning techniques, and the ability to communicate findings effectively while working in a fast-paced, cross-functional

Qualifications

• Enrolled in a PhD - eligible to relocate to internship base
• Proficient in Python or other scripting languages
• Experience programming in Python, Java, C or C++
• Eligible for full-time (40 hours/week) internship for entire duration

Responsibilities

• Collaborate with Amazon scientists and cross-functional teams to develop and deploy computer vision solutions
• Work on challenging research problems in Vision-Language Models, Object Recognition/Detection, DL, and Robotics
• Contribute to technical white papers and roadmaps; drive production-level projects for Amazon Science
• Engage in knowledge-sharing, mentorship, and career development opportunities

Skills

Python

Java

C

C++

Vision-Language Models

Object Recognition/Detection

Deep Learning

LLMs

Image Retrieval

Robotics

Video Understanding

Ranking

Education

PhD enrollment

Job description

Amazon is offering Computer Vision Applied Science Internships across multiple locations, including Boston, MA. You will develop scalable algorithms for visual intelligence, collaborate with world-class scientists, and contribute to production-ready research powering services like Rekognition and Visual Search.

The role emphasizes hands-on development, exploration of deep learning techniques, and the ability to communicate findings effectively while working in a fast-paced, cross-functional