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Online Computer Vision Jobs in Seattle, WA (NOW HIRING)

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Amazon

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

Your work will directly influence how customers interact with the world's largest online store. Key ... modality Computer Vision, Diffusion Models, Reinforcement Learning - Collaborate with cross ...

Amazon

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

Your work will directly influence how customers interact with the world's largest online store. Key ... modality Computer Vision, Diffusion Models, Reinforcement Learning - Collaborate with cross ...

Mosaic.tech

Senior Software Engineer, Video

Seattle, WA · On-site

$191 - $253/hr

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months ...

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Showing results 21-40

All JobsOnline Computer Vision JobsOnline Computer Vision Jobs in Seattle, WA

Online Computer Vision information

See Seattle, WA salary details

$15

$19

$23

How much do online computer vision jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for online computer vision in Seattle, WA is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $19.71 per hour, depending on experience, location, and employer.

What is an online computer vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an online computer vision engineer?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

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

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are the most commonly searched types of Computer Vision jobs in Seattle, WA?

The most popular types of Computer Vision jobs in Seattle, WA are:

What are popular job titles related to Online Computer Vision jobs in Seattle, WA?

For Online Computer Vision jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Online Computer Vision jobs in Seattle, WA look for?

The top searched job categories for Online Computer Vision jobs in Seattle, WA are:

Online Computer Vision jobs near you

Applied Scientist, Last Mile Delivery Automation

Amazon

Bellevue, WA

Full-time

Re-posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,100 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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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