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Unpaid Computer Science Internship Jobs in Seattle, WA

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

... science interns in the areas of natural language processing, natural language generation, and deep ... Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language ...

Your Impact As a Software Engineer Intern, you have foundational computer science knowledge and a ... As part of your internship, you'll get visibility by presenting your ideas, vision, and ...

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Are you a PhD interested in machine learning, natural language processing, computer vision ... You will work closely with Amazon scientists, and other science interns to develop solutions and ...

This internship is ideal for students pursuing careers in Information Technology, Computer Science, or related technical fields who are eager to gain practical, hands-on experience supporting ...

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Unpaid Computer Science Internship information

See Seattle, WA salary details

$10

$19

$27

How much do unpaid computer science internship jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for unpaid computer science internship in Seattle, WA is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an unpaid computer science internship, and why are they important?

To thrive as an Unpaid Computer Science Intern, you should have a solid understanding of programming fundamentals, data structures, algorithms, and typically be pursuing or have recently completed a degree in computer science or a related field. Familiarity with languages such as Python, Java, or C++, as well as experience using version control systems like Git, is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills that set candidates apart. These abilities are crucial for contributing to development projects, adapting to changing tasks, and making the most of the internship experience.

What is an unpaid computer science internship?

An Unpaid Computer Science Internship is a temporary position where students or recent graduates gain hands-on experience in computer science without receiving monetary compensation. Interns typically work on software development, debugging, data analysis, or IT support under the guidance of experienced professionals. These internships provide valuable industry exposure, enhance technical skills, and help build professional networks. While unpaid, they can improve job prospects and may lead to future paid opportunities.

What types of projects or tasks can I expect to work on during an unpaid computer science internship?

As an Unpaid Computer Science Intern, you will often be involved in a range of hands-on projects such as coding assignments, software testing, debugging, and collaborating on group development initiatives. Interns may also assist with documentation, participate in code reviews, and learn about industry best practices through mentorship from experienced developers. The exact nature of tasks will vary depending on the company and team, but most internships aim to balance skill-building with meaningful contributions to real-world projects. This variety gives interns a chance to apply classroom knowledge in practical settings and develop a better understanding of day-to-day roles in the tech industry.

What cities near Seattle, WA are hiring for Unpaid Computer Science Internship jobs?

Cities near Seattle, WA with the most Unpaid Computer Science Internship job openings:

Infographic showing various Unpaid Computer Science Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $40,963 per year, or $19.7 per hour.

2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiti

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


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. 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.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++
- 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
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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US