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Internship Amazon Communications Jobs (NOW HIRING)

Embedded Software Engineer, Amazon Leo

Austin, TX · On-site

$130K - $171K/yr

... Amazon Leo's satellite communication software stack. In this role, you will develop embedded ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

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Internship Amazon Communications information

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$5

$17

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How much do internship amazon communications jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for internship amazon communications in the United States is $17.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

Will Amazon pay you $28 an hour to work from home?

Internship Amazon Communications roles typically do not pay $28 an hour; pay rates for internships vary based on location, experience, and role. Most internships offer hourly wages that are competitive but may be lower than this figure, and compensation details are usually provided during the application process.

How much do Amazon interns get paid?

Amazon interns typically receive a competitive hourly wage, which varies by location and role but generally ranges from $18 to $35 per hour. Internships often last 10 to 12 weeks and may include additional benefits such as housing stipends or transportation allowances depending on the program and location.

What would a communications intern do?

A communications intern supports the company's internal and external communication efforts by creating content, managing social media, drafting press releases, and assisting with public relations activities. They often use tools like email, media monitoring platforms, and content management systems while gaining experience in communication strategies and branding. The role typically involves collaboration with teams and adherence to company messaging standards.

Is it hard to get an internship at Amazon?

Internships at Amazon are competitive, with applicants often required to have strong academic records, relevant skills, and prior experience. The selection process typically involves multiple interview rounds assessing technical abilities, problem-solving, and cultural fit.

What is the difference between Internship Amazon Communications vs Communications Intern?

AspectInternship Amazon CommunicationsCommunications Intern
Required CredentialsEnrolled in relevant degree (e.g., Communications, Marketing)Enrolled in related degree program
Work EnvironmentFast-paced corporate setting at AmazonVaries; corporate, agency, or nonprofit environments
Employer & Industry UsageAmazon, e-commerce, technologyVarious industries including media, marketing, tech
Common Search & Comparison IntentInternship roles at Amazon in communicationsEntry-level communications internship roles

Both roles involve supporting communication strategies, creating content, and assisting with media relations. However, the Internship Amazon Communications is specific to Amazon's corporate environment, focusing on e-commerce and technology, while a Communications Intern may work across diverse industries with similar responsibilities.

More about Internship Amazon Communications jobs
What cities are hiring for Internship Amazon Communications jobs? Cities with the most Internship Amazon Communications job openings:
What are the most commonly searched types of Amazon Communications jobs? The most popular types of Amazon Communications jobs are:
What states have the most Internship Amazon Communications jobs? States with the most job openings for Internship Amazon Communications jobs include:
Infographic showing various Internship Amazon Communications job openings in the United States as of June 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,650 per year, or $17.1 per hour.
2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiti

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

Posted 23 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,929 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

Sourced by ZipRecruiter

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