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$33.5K

$48.3K

$63.5K

How much do amazon computer vision jobs pay per year?

As of May 30, 2026, the average yearly pay for amazon computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Computer Vision Engineer, and why are they important?

To thrive as an Amazon Computer Vision Engineer, you need strong foundations in computer science, machine learning, and image processing, typically with a degree in a related field. Expertise in programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud platforms like AWS are commonly required. Strong problem-solving abilities, collaboration, and effective communication skills help engineers innovate and work efficiently in cross-functional teams. These skills ensure the development of scalable and accurate vision solutions that drive product innovation and customer satisfaction at Amazon.

How does an Amazon Computer Vision specialist typically collaborate with cross-functional teams to deliver solutions?

As an Amazon Computer Vision specialist, you will frequently collaborate with software engineers, data scientists, and product managers to design and implement innovative visual recognition solutions. This involves participating in regular meetings to align technical requirements, sharing progress updates, and jointly troubleshooting challenges. Effective communication and teamwork are essential, as projects often span multiple departments, requiring you to explain complex machine learning concepts to non-technical stakeholders. Such collaboration not only enhances solution quality but also provides valuable opportunities for professional growth and cross-disciplinary learning.

What is Amazon Computer Vision?

Amazon Computer Vision refers to a set of services and technologies developed by Amazon that enable computers to interpret and analyze visual information from the world, such as images and videos. These services, like Amazon Rekognition, use advanced machine learning to identify objects, people, text, activities, and even detect inappropriate content. Amazon Computer Vision is widely used in applications like facial recognition, image moderation, and document analysis, helping businesses automate visual data processing and enhance user experiences. The technology is scalable, secure, and integrates easily into existing workflows through cloud-based APIs.

What is the difference between Amazon Computer Vision vs Computer Vision Engineer?

AspectAmazon Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AWS servicesBachelor's or higher in CS, AI, or related fields; strong programming skills in Python, C++, experience with ML frameworks
Work EnvironmentPrimarily cloud-based, working with AWS tools and large datasetsTypically in R&D labs or tech companies, focusing on developing algorithms and models
Employer & Industry UsageAmazon, e-commerce, cloud computing, AI servicesTech companies, research institutions, startups in AI and computer vision

Amazon Computer Vision refers to Amazon's cloud-based AI services for image and video analysis, while a Computer Vision Engineer designs and develops algorithms for visual data processing. The roles overlap in skills and credentials but differ in focus: one is a service/product, the other a technical role involved in creating such solutions.

More about Amazon Computer Vision jobs
What cities are hiring for Amazon Computer Vision jobs? Cities with the most Amazon Computer Vision job openings:
What states have the most Amazon Computer Vision jobs? States with the most job openings for Amazon Computer Vision jobs include:
What job categories do people searching Amazon Computer Vision jobs look for? The top searched job categories for Amazon Computer Vision jobs are:
Amazon Computer Vision jobs near you
Infographic showing various Amazon Computer Vision job openings in the United States as of May 2026, with employment types broken down into 25% As Needed, and 75% Full Time. Highlights an 58% Physical, 36% Hybrid, and 6% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Sr. Applied Scientist, Amazon Publisher Monetization - Ads

Sr. Applied Scientist, Amazon Publisher Monetization - Ads

Amazon

Seattle, WA • On-site

$67.10K - $67.70K/yr

Full-time

Posted 6 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to streaming video and publishers are increasingly adding video content to their online experiences. Amazon's video advertising is a rising competitor in this industry.

Amazon's service has differentiated assets in our customer & audience insights, exclusive video content, and associated inventory that position us well as an end-to-end service for advertisers and agencies. We are innovating at the intersection of advertising, e-commerce, and entertainment.
Amazon Publisher Monetization (APM) is looking for a a passionate and experienced scientist who is adept at a variety of skills; especially in generative AI, computer vision, and large language models that will accelerate our plans to maximize yield via AI-driven contextual targeting, Ads syndication and more. The ideal candidate will be an inventor at heart, they will provide science expertise, rapidly prototype, iterate, and launch, foster the spirit of collaboration and innovation within our larger sister teams and their scientists, and execute against a compelling product roadmap designed to bring AI-led science innovation to solve one of the most challenging problems in advertising.
Key job responsibilities
This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers, improved performance for advertisers, and maximizing the yield of our supply inventory.
Responsibilities include:
* Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.
* Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity.
* Provide technical/science leadership related to computer vision, large language models and contextual targeting.
* Research new and innovative machine learning approaches.
* Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.

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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

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