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Entry Level Computer Vision Engineer Jobs in Redmond, WA

Trunk Tools

MBA/BS Intern - Vision AI

Redmond, WA

$45/hr

Collaborate with engineers designing and implementing computer vision models and pipelines for image classification, object detection, segmentation, and scene understanding; comprehend platform ...

3MD Inc.

Automation Applications Engineer

Redmond, WA · On-site

$130K - $140K/yr

The Automation Applications Engineer involves the installation, maintenance, and troubleshooting of automation systems, with a focus on machine and computer vision technologies. The Automation ...

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Entry Level Computer Vision Engineer information

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$54.3K

$136.1K

$154K

How much do entry level computer vision engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for entry level computer vision engineer in Redmond, WA is $136,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $147,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are the most commonly searched types of Computer Vision Engineer jobs in Redmond, WA? The most popular types of Computer Vision Engineer jobs in Redmond, WA are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Redmond, WA? For Entry Level Computer Vision Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Redmond, WA look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Entry Level Computer Vision Engineer jobs? Cities near Redmond, WA with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you
Software Development Engineer, Amazon Quick Suite

Software Development Engineer, Amazon Quick Suite

Amazon

Seattle, WA

Full-time

Posted 13 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,795 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document processing and search capabilities. You'll design and build scalable ingestion pipelines that handle multi-modal content (PDF, audio, video, tables) using computer vision and machine learning, optimize system performance for millions of documents, and collaborate across teams to deliver features that directly impact customer experience. This role offers the opportunity to work with modern AWS technologies including Bedrock, ECS, and DynamoDB while solving complex distributed systems challenges at scale.
Key job responsibilities
You will design, develop, and maintain scalable ingestion pipelines that process millions of documents across multiple formats including PDF, audio, video, and structured tables

You'll optimize system performance and reliability, implement computer vision and machine learning solutions for content extraction, and collaborate with applied scientists to integrate advanced retrieval models. You'll also participate in on-call rotations, conduct code reviews, mentor team members, and contribute to architectural decisions that shape the future of AWS Quick Suite's document intelligence capabilities. This role requires balancing hands-on development with operational excellence, ensuring our systems meet the highest standards for performance, scalability, and customer experience.
A day in the life
As a Software Development Engineer on the AWS Quick RAG team, you'll start your day reviewing system metrics and performance dashboards to ensure our ingestion pipelines are processing millions of documents efficiently

You'll spend time coding-whether building new features for multi-modal content processing, optimizing retrieval algorithms, or debugging complex distributed systems issues. Throughout the day, you'll collaborate with applied scientists on machine learning model integration, participate in design reviews with partner teams, and contribute to architectural decisions that shape how customers interact with their data. You'll also mentor junior engineers through code reviews and technical discussions, balancing hands-on development with the opportunity to influence the technical direction of a product used by thousands of enterprise customers.
About the team
The AWS Quick RAG team is responsible for building and maintaining the intelligent document processing backbone of Amazon Quick Suite

We develop scalable ingestion pipelines that handle millions of documents across multiple modalities-PDF, audio, video, tables, and more-using advanced computer vision and machine learning techniques. Our work directly powers Quick Suite's search and retrieval capabilities, enabling enterprise customers to unlock insights from their data. We're a collaborative, innovation-driven team that values technical excellence, operational rigor, and customer obsession, working closely with applied scientists, product managers, and partner teams across AWS to deliver features that transform how organizations interact with their information.

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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