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Amazon Computer Vision Jobs (NOW HIRING)

Amazon

Applied Scientist, Ring AI

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... computer vision applications and tools - Experience in Vision Language Models and LLMs - Exhibits excellent business judgment; balances business, product, and technology very well. Amazon is an equal ...

Amazon

Sr Applied Scientist, Ring AI

Bellevue, WA · On-site

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the ...

Amazon

Applied Scientist, Ring AI

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to ... You will collaborate with different Amazon teams to make informed decisions on the best practices ...

Amazon

Sr Applied Scientist, Ring AI

Sunnyvale, CA · On-site

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the ...

Amazon

Sr Applied Scientist, Ring AI

Bellevue, WA · On-site

$103K - $141K/yr

This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models You will collaborate with different Amazon teams to make informed decisions on the ...

Amazon

Sr Applied Scientist, Ring AI

Sunnyvale, CA · On-site

$107K - $146K/yr

This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models You will collaborate with different Amazon teams to make informed decisions on the ...

Amazon

Sr Applied Scientist, Ring AI

Bellevue, WA

$103K - $141K/yr

This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models You will collaborate with different Amazon teams to make informed decisions on the ...

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All JobsTechnology JobsAmazon Computer Vision Jobs

Amazon Computer Vision information

See salary details

$33.5K

$48.3K

$63.5K

How much do amazon computer vision jobs pay per year?

As of Aug 18, 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 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 are the key skills and qualifications needed to thrive as an Amazon Computer Vision engineer?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Applied Scientist, Last Mile Delivery Automation

Amazon

Bellevue, WA

Full-time

Re-posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As an Applied Scientist for Last Mile Delivery Automation, you will be at the forefront of developing AI and ML solutions that power our delivery solutions. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient operations.

This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments.
Key job responsibilities
- Design and develop advanced machine learning models and algorithms for perception, navigation and planning.
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in perception, navigation and planning
- Create and implement metrics and evaluation frameworks to measure model performance
- Collaborate with engineering teams to integrate ML solutions into production stack
- Publish research findings and represent Amazon at technical conferences
About the team
The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation

Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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