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Computer Vision Engineer 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 ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Seattle, WA

Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do computer vision engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision engineer in Seattle, WA is $138,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Seattle, WA? The most popular types of Computer Vision Engineer jobs in Seattle, WA are:
What are popular job titles related to Computer Vision Engineer jobs in Seattle, WA? For Computer Vision Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Seattle, WA look for? The top searched job categories for Computer Vision Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Vision Engineer jobs? Cities near Seattle, WA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $138,285 per year, or $66.5 per hour.
Robotics Engineer - Computer Vision focus

Robotics Engineer - Computer Vision focus

Fresh Consulting

Bellevue, WA • On-site

Full-time

Re-posted 7 days ago

Job description

We are Fresh. Together let’s build the future. With partners and clients, we practice strategy, design, development, and engineering to harness the power of technology and create what's next.
Our cross-disciplinary approach blends human ingenuity and technology, empowering us to meet uncertainty with confidence. What got us to today won’t get us to tomorrow, so we test our assumptions and always strive for growth. From the products we build to the partners we collaborate with, we believe people make the difference.
And we do so as a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive.
Why join Fresh?
Fresh Consulting is a fast-paced, design-led, software development and hardware engineering company, offering end-to-end services to help companies innovate. We bring together amazing UX Designers, sophisticated developers, digital strategists, and top-notch engineers to help companies create fresh experiences that connect humans, systems, and machines. We've been growing fast and need someone to help us continue to manage the delivery of high quality work in a fast-paced environment. See more at freshconsulting.com. 
What we need:
In this role, you will combine your passion and enthusiasm for robotics, open-source software and hardware technologies. You will work alongside Fresh customers and partners to build solutions, identify industry wide technical trends and help guide strategic technical decision making for the Fresh robotics team.
The Fresh Consulting hardware and robotics team is working with customers to build and deploy fleets of robots into the field. Join us and help to build new state of the art software for both robots and the hardware backends that support them.
We are now looking for a Software Engineer with a focus in computer vision and machine learning pipelines. They will also be responsible for developing and maintaining software solutions, integrating with sensors and componentry, and implementing integrations that meet our customers' needs. If you have a solid background in software engineering, are familiar with Python/C++, and want to be part of a fast-paced and exciting team, we’d love to chat!
Daily Responsibilities
  • Contribute to system design by converting business needs into robust architectures and achievable solutions.
  • Develop modular, reusable software in Python to automate processes and tests 
  • Interfacing with sensors, actuators, componentry using Python/C++
  • Develop software for integration with internal back-end systems
  • Executing robotics software for test automation in linux environments
  • Designing procedures for robotics system troubleshooting and maintenance

Skills and Qualifications
  • BSc in Computer Science, Engineering or relevant field
  • Experience as a Software Engineer or similar software engineering role
  • Proficient with git and git workflows
  • Strong skills in prototyping, debugging, performance optimization, and unit testing
  • Proficient with Linux command line and shell scripting
  • Good knowledge of Python and/or C++ project packaging and deployment
  • Collaborative in an interdisciplinary team environment
  • Creative approach to problem solving, analytical skills and engineering fundamentals
  • Familiarity and experience with machine learning, computer vision, and associated deployment pipelines

Preferred Qualifications
  • Some knowledge of robotics or hardware/software development process
  • Familiarity with SLAM, Path Planning, Optimization, 3D-geometry, controls & dynamics is a plus
  • Familiar with containerization technologies such as Docker
  • Experience with Confluence/Jira
  • Software engineering experience
  • Experience with using robotics middleware such as ROS

The base salary hiring range for this position is $95,000 to $130,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. 
Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law.  Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities.
*Fresh Consulting is an E-Verify participating company
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