2027 Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting

Amazon; Seattle (WA); On-site; USD 135,000 - 136,000; Part time

Job summary

Amazon invites highly motivated PhD candidates to join our Computer Vision Applied Science Internship, shaping the future of visual intelligence and powering services like Rekognition and visual search.

You will work with leading researchers, develop scalable algorithms, and contribute to production‑grade research projects while benefiting from mentorship and a fast‑paced, innovation‑driven environment in the Seattle area.

Qualifications

• Must be enrolled in a PhD program
• Willingness to relocate to internship base
• Proficient in Java, Python, or C/C++ for research
• Publication/thesis contributions demonstrate depth of science

Responsibilities

• Collaborate with Amazon scientists and cross‑functional teams
• Explore and implement scalable computer vision algorithms
• Contribute to technical white papers and roadmaps
• Engage in mentorship and knowledge sharing

Skills

Java

Python

C/C++

Education

PhD candidate

Job description

Shape the Future of Visual Intelligence

Are you passionate about pushing the boundaries of computer vision and shaping the future of visual intelligence? Join Amazon and embark on an exciting journey where you'll develop cutting-edge algorithms and models that power our groundbreaking computer vision services, including Amazon Rekognition, Amazon Go, Visual Search, and more!

At Amazon, we're combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement to solve real-world problems at an unprecedented scale. As an intern, you'll have the opportunity to build innovative solutions where visual input helps 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 worldwide.

Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.

Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Amazon has positions available for Computer Vision Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA; Bellevue, WA; Santa Clara, CA; Sunnyvale, CA.

Key job responsibilities

We are particularly interested in candidates with expertise in: Vision - Language Models, Object Recognition/Detection, Computer Vision, Large Language Models (LLMs), Programming/Scripting Languages, Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, Robotics

In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas of visual intelligence. You will 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.

The ideal candidate should possess the ability to work collaboratively with diverse groups and cross‑functional teams to solve complex business problems, and to communicate research findings clearly. A successful candidate will be a self‑starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast‑paced, ever‑changing environment.

Leverage AI‑powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.

A day in the life

• Collaborate with Amazon scientists and cross‑functional teams to develop and deploy cutting edge computer vision solutions into production.
• 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.
• Contribute to technical white papers, create technical roadmaps, and drive production‑level projects that will support Amazon Science.
• Embrace ambiguity, strong attention to detail, and a fast‑paced, ever‑changing environment as you own the design and development of end‑to‑end systems.
• Engage in knowledge‑sharing, mentorship, and career‑advancing resources to grow as a well‑rounded professional.

Basic Qualifications

• Are enrolled in a PhD
• Can relocate to where the internship is based
• Experience programming in Java,Python, C or C++
• Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
• Must be eligible for and available for full‑time (40 hours per week) internship for the whole duration of the internship

Preferred Qualifications

• Have publications at top‑tier peer‑reviewed conferences or journals
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience with AI‑assisted development tools to accelerate research, coding, or evaluation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

Seattle, WA, USA - 135,660.00 USD Annually