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Computer Vision Engineer Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Seattle, WA

$183K/yr

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

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

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

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Infosys Limited Digital

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 Technology|Traditional AI|TensorFlow Overview The Infosys Engineering unit is dedicated to amplifying product ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Computer Vision Engineer Location: Bellevue, WA. Job Type: Full-time Description: * SID global solutions are searching for an innovative and custom solutions-oriented Interdisciplinary System ...

Sentradel

Computer Vision Engineer

San Francisco, CA · On-site

$120K - $210K/yr

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required Skill and Experience - Expertise in developing real-time computer vision models - Python ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models-detection, tracking, pose, event understanding, and multi-view reasoning. You'll spend most of ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required : • Expertise in developing real-time computer vision models • Python, Pytorch, tensorflow • CV/ML model development • Object recognition/Detection • Bachelor's degree or foreign ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

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Computer Vision Engineer information

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$48.5K

$121.5K

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How much do computer vision engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 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
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Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computer Vision Engineer

Computer Vision Engineer

Meta

Seattle, WA

$183K/yr

Full-time

Posted 13 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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