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Computer Vision Jobs in Seattle, WA (NOW HIRING)

Meta

Computer Vision Engineer

Redmond, WA

$183K/yr

RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward ...

Meta

Computer Vision Engineer

Seattle, WA

$183K/yr

RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D. Duranta's founding team have built unicorns, had successful exits and published groundbreaking research ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D. Duranta's founding team have built unicorns, had successful exits and published groundbreaking research ...

Duranta

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 ...

SID Global Solutions

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 ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$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 ...

Meta

Computer Vision Engineer

Seattle, WA

$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.

Meta

Computer Vision Engineer

Redmond, WA

$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.

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to advancing the state of the art through ...

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All JobsComputer Vision JobsComputer Vision Jobs in Seattle, WA

Computer Vision information

See Seattle, WA salary details

$38.1K

$55K

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How much do computer vision jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision in Seattle, WA is $54,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $63,200.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

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 Computer Vision jobs in Seattle, WA? For Computer Vision jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Seattle, WA look for? The top searched job categories for Computer Vision jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Vision jobs? Cities near Seattle, WA with the most Computer Vision job openings:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Seattle, WA as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $54,964 per year, or $26.4 per hour.
Computer Vision Engineer

Computer Vision Engineer

Meta

Redmond, WA

$183K/yr

Full-time

Posted 6 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virtual reality (AR/VR) products. RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward through relentless innovation. Our XR Tech organization is focused on advanced research and development of machine perception technologies from early concepts to production level across all of Meta's AR/VR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more.In this role, you will be researching and applying a range of software, computer vision, and machine learning techniques for solving challenges that bridge the virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, hand tracking, micro-gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RLR).
Computer Vision Engineer Responsibilities:
  • Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
  • Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production
  • Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product
  • Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics
  • Participate in cutting-edge research in computer vision that can be applied to AR/VR product development
  • Define and scope projects for other engineers, providing technical direction and success criteria

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of industry experience in machine learning, computer vision, or related fields
  • Experience shipping ML models to production, including the full ML production cycle from development to deployment
  • Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation

Preferred Qualifications:
  • Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (SLAM) and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
  • Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
  • PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
  • Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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