drjobs Fall 2025 Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting

Fall 2025 Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting

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1 Vacancy
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Job Location drjobs

Seattle, WA - USA

Yearly Salary drjobs

$ 136000 - 223400

Vacancy

1 Vacancy

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 youll develop cutting-edge algorithms and models that power our groundbreaking computer vision services including Amazon Rekognition Amazon Go Visual Search and more!

At Amazon were 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 youll 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 youll 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.

Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025.

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. 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.

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.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python Java C or C
- Experience with one or more of the following: 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

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

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit
This position will remain posted until filled. Applicants should apply via our internal or external career site.


Required Experience:

Intern

Employment Type

Full-Time

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