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

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

They are seeking a Senior Computer Vision Engineer to contribute to the development of computer vision pipelines for extracting intelligence from aerial imagery, working closely with the founding ...

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

We are seeking a Senior Computer Vision Engineer to join our team. We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world ...

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

Computer Vision Engineer

Redmond, WA · On-site

$124K - $147K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

... engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics • Participate in cutting edge research in computer vision that can be applied to AR/VR ...

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Showing results 1-20

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.
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:
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.

Computer Vision Engineer

Duranta

Seattle, WA • On-site

$126K - $149K/yr

Full-time

Posted 23 days ago


Job description

Job Summary:
Duranta is an applied research lab focused on redefining industry interactions with the physical world through Artificial Spatial Intelligence. They are seeking a Senior Computer Vision Engineer to contribute to the development of computer vision pipelines for extracting intelligence from aerial imagery, working closely with the founding team on deep learning research and deployment.
Responsibilities:
• Building the components of a state-of-the-art computer vision pipeline for our AI system
• Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
• Run experiments at scale with deep learning frameworks like PyTorch
• Develop and maintain clean, modular ML infrastructure
• Collaborate on model deployment and inference optimizations
• Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
Qualifications:
Required:
• Have 5+ years experience in ML / deep learning, ideally in Computer Vision
• Have strong coding ability (Python, PyTorch)
• Have trained segmentation/detection models on real-world data at scale
• Have experience with generative modeling and large foundation models
• Have worked in startups or fast-moving teams and can wear many hats
Preferred:
• Experience with high-res aerial/remote sensing imagery and LiDAR
• Experience with self-supervised and weakly-supervised learning
• Knowledge of 3D, CAD and computer graphics
• Experience with cloud computing (e.g., AWS)
Company:
Duranta is the software platform transforming how landscapers and lawn care professionals grow and manage their businesses. Founded in 2024, the company is headquartered in Seattle, USA, with a team of 11-50 employees. The company is currently Early Stage.