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Full Time Computer Vision Jobs (NOW HIRING)

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled Computer Vision Engineer to design and develop cutting-edge vision-based solutions. In this role, you will ...

Anduril Industries

Computer Vision Engineer

Seattle, WA · On-site

$166K - $220K/yr

About the Role We are seeking a Computer Vision Engineer to join our Perception team at Anduril ... Highly competitive equity grants are included in the majority of full time offers; and are ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110.80K - $130.60K/yr

Hours: Full-time Location: Molg HQ in Chantilly, VA (Northern Virginia) Salary: Competitive ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

Corning

Computer Vision Engineer

Painted Post, NY

$69.64K - $95.75K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the ... The range for this position is $69,635.00 - $95,749.00 assuming full time status. Starting pay for ...

DARBYTEK

Sr. Computer Vision Engineer

Austin, TX

$103.60K - $142.20K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

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How much do full time computer vision jobs pay per year?

As of May 30, 2026, the average yearly pay for full time computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.

What is a Full Time Computer Vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.
More about Full Time Computer Vision jobs
What cities are hiring for Full Time Computer Vision jobs? Cities with the most Full Time Computer Vision job openings:
What are the most commonly searched types of Computer Vision jobs? The most popular types of Computer Vision jobs are:
What states have the most Full Time Computer Vision jobs? States with the most job openings for Full Time Computer Vision jobs include:
What job categories do people searching Full Time Computer Vision jobs look for? The top searched job categories for Full Time Computer Vision jobs are:
Full Time Computer Vision jobs near you
Infographic showing various Full Time Computer Vision job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

digitalglobalservices

Little Rock, AR • On-site, Remote

$106.90K - $126.10K/yr

Full-time

Posted 17 days ago

Job description

Location: Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled Computer Vision Engineer to design and develop cutting-edge vision-based solutions. In this role, you will create algorithms and systems for image and video analysis, object detection, facial recognition, and other computer vision tasks. You will collaborate with cross-functional teams to build intelligent applications for real-world problems, leveraging the latest advancements in deep learning and artificial intelligence.

Key Responsibilities Develop and implement computer vision algorithms for tasks such as object detection, image segmentation, and pose estimation. Train and optimize deep learning models using frameworks like TensorFlow or PyTorch. Work with image and video datasets for preprocessing, augmentation, and annotation.

Integrate vision models into production systems for applications like robotics, AR/VR, or autonomous systems. Stay updated on emerging trends and technologies in computer vision and deep learning. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a plus).

Strong experience with computer vision frameworks and libraries (e.g., OpenCV, TensorFlow, PyTorch). Proficiency in Python or C++ and familiarity with image processing techniques. Knowledge of convolutional neural networks (CNNs) and transformer-based vision models.

What We Offer Competitive compensation aligned with industry standards and your experience. Performance-based incentives and rewards. Opportunities for professional growth and skill development.

Comprehensive health and wellness benefits. A flexible and inclusive work environment. How to Apply If you're passionate about computer vision and building intelligent systems, we'd love to hear from you!

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