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Amazon Computer Vision Jobs in Texas (NOW HIRING)

... Computer Science, Engineering, or related field - Experience with sales CRM tools such as ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

... for computer hardware, operating systems, or enterprise application software across sites in a ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

... Bachelor's degree in computer science, electrical engineering, automation engineering, or ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

... for computer hardware, operating systems, or enterprise application software across sites in a ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

AMAZON DATA SERVICES, INC. Offered Position: Product Mgr III - Tech Job Location: Austin, Texas Job ... Develop product strategy vision and roadmaps, and create short, medium, and long-term features to ...

Showing results 21-40

Amazon Computer Vision information

See Texas salary details

$31.2K

$45K

$59.2K

How much do amazon computer vision jobs pay per year?

As of Aug 18, 2026, the average yearly pay for amazon computer vision in Texas is $44,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $51,700.00 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.

What are popular job titles related to Amazon Computer Vision jobs in Texas?

For Amazon Computer Vision jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Amazon Computer Vision jobs in Texas look for?

The top searched job categories for Amazon Computer Vision jobs in Texas are:

Infographic showing various Amazon Computer Vision job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,997 per year, or $21.6 per hour.

Software Development Engineer, Prime Video - Artwork

Amazon

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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

Every piece of artwork a customer sees on Prime Video is a decision point. Our team owns the AI agents and ML models that ingest, localize, and personalize artwork for hundreds of millions of customers across 240+ countries, directly shaping what they choose to watch next.
You will own systems that ingest artwork at scale, personalize what each customer sees based on their taste and context, automate quality assessment, and localize visuals so every experience feels native. You will work on real-time personalization under strict latency constraints, and autonomous agents that maintain a high quality bar across every locale. This is Day 1 for AI-driven content discovery, and artwork is where customer choice begins.
Key job responsibilities
- Design, build, and own systems that ingest, process, and serve artwork at scale to hundreds of millions of customers across 240+ countries
- Build AI agents that automate artwork quality assessment, defect detection, localization, and compliance across thousands of content partners
- Develop and train ML models for artwork personalization that vend the right image to the right customer based on taste, context, and viewing history
- Own the full lifecycle of services you build, from architecture and implementation through deployment, monitoring, and operational excellence
- Design and operate low-latency serving infrastructure that delivers personalized artwork decisions in milliseconds under strict availability constraints
- Run A/B experiments to measure the impact of personalization on customer engagement and content discovery
- Solve complex, ambiguous problems across distributed systems, computer vision, and real-time personalization with minimal guidance
- Improve engineering practices across the team including CI/CD pipelines, testing frameworks, deployment patterns, and on-call processes
- Mentor engineers on system design, code quality, and ML best practices
- Collaborate with scientists, product managers, and partner teams to translate business problems into well-scoped technical solutions and influence the technical roadmap
A day in the life
You will independently own and deliver features across backend services, ML training pipelines, and AI agents that power artwork ingestion, personalization, and localization. You will take ambiguous problems, break them down, and drive them to production with minimal guidance. Day to day, you will write and review code, design and evolve system architectures with senior engineers, debug production issues during on-call rotations, and drive operational improvements at worldwide scale. You will collaborate with applied scientists, product managers, and content partner teams, and mentor teammates through code reviews and design discussions.
About the team
We are the Artwork team within Prime Video. We own the systems that decide what every customer sees before they press play. Our mission is to make content discovery effortless by building infrastructure, AI agents, and ML models that ingest artwork from global content partners, enforce quality, localize across cultures, and personalize images for each customer's taste. We operate with high ownership and low bureaucracy. Engineers own systems end-to-end and are trusted to make decisions autonomously. We debate openly, experiment rigorously, and ship fast. This is a Day 1 team solving greenfield problems at worldwide scale.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience developing, deploying and managing AI products at scale
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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, TX, Austin - 143,700.00 - 194,400.00 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