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Full Time Computer Vision Jobs (NOW HIRING)

Computer Vision Engineer

Sterling, VA

$110K - $130K/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 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 ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... science|Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... Required Skill and Experience - Expertise in developing real-time computer vision models - Python ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the Opportunity We are a venture-backed technology company building AI-powered solutions that bring real ...

About the Role At the forefront of innovation, the Computer Vision team develops the artificial ... full-time employees for this position, comprised of base compensation and commissions (if ...

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Full Time Computer Vision information

See salary details

$33.5K

$48.3K

$63.5K

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

As of Jun 19, 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 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.

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.
More about Full Time Computer Vision jobs
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:
Infographic showing various Full Time Computer Vision job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

MOLG Inc.

Sterling, VA

$110K - $130K/yr

Full-time

Medical, Vision

Posted 17 days ago


Job description

Hours: Full-time

Location: Molg HQ in Chantilly, VA (Northern Virginia)

Salary: Competitive compensation, including salary, equity, and full healthcare benefits


OUR MISSION

Tackle the fast growing e-waste problem by making electronics manufacturing circular. 


Molg builds robotics microfactories and software to autonomously assemble and disassemble complex electronic products like laptop PCs, servers, and battery packs. Working with some of the leading computer + server manufacturers as well as industrial companies like Stanley Black and Decker, we are building the circular manufacturing technology to recover existing in-market devices for reuse and recycling as well as helping develop the next generation of circular-focused devices at the design level. 


IN THIS ROLE YOU WILL:

Work with a talented cross-functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in computer vision as it relates to our robotics and microfactories. 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.

  • Testing and verifying accuracy and precision of off-the-shelf and novel in-house vision feedback systems as it relates to robotic motion planning and grasping.

  • Collaborating with robotic, mechanical, and software engineers on design and packaging of vision systems inside Molg Microfactory designs. 


WHO YOU ARE:

  • 3+ years of industry experience in computer vision, machine vision, or image processing in manufacturing environments

  • Proficient in modern software development (e.g. python, ROS, github, docker, etc)

  • Passionate about robotics, automation, and control systems

  • Ability to communicate effectively and efficiently both verbally and in writing


WHO WE ARE:

We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Chantilly, VA, down the road from the largest data center market in the world.  Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things.   


While we are primarily funded by our work with Fortune 100 companies, we are also supported by amazing backers like Elemental Excelerator and Techstars. 


THINGS TO KNOW:

  • We’re a small collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.

  • We are a profitable business that is primarily funded from customer revenue, which means we are scrappy and looking to build a great sustainable company for years to come.

  • As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.