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Machine Vision Jobs (NOW HIRING)

Uniting Holding

WI · On-site

$79.93 - $108.47/hr

Catalyx is seeking an Automation and Machine Vision Engineer to join our team in Belgium. Who We Are Catalyx is a leader in industrial automation solutions, delivering innovative and efficient ...

Zebra Technologies

$95K - $143K/yr

The Account Manager, Senior, Machine Vision (Retail) is responsible for managing complex accounts and driving strategic initiatives within the sales function. This role requires advanced solution ...

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How much do machine vision jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine vision in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is machine vision?

Machine vision is a field of technology and engineering that enables computers and machines to interpret and process visual information from the world, typically using cameras and image processing software. It is widely used in industrial automation for tasks such as inspection, measurement, and object recognition. Machine vision systems can analyze images to detect defects, guide robots, and ensure quality control. They play a crucial role in manufacturing, logistics, and many other sectors where visual inspection or guidance is required.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need strong knowledge of image processing, computer vision algorithms, and programming languages like Python or C++, typically supported by a degree in engineering or computer science. Familiarity with machine vision software (such as OpenCV, HALCON, or MATLAB), industrial cameras, and hardware integration is essential. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing robust vision systems that ensure accuracy and efficiency in automated inspection and quality control processes.

What are some common challenges faced by professionals working in machine vision roles?

Professionals in Machine Vision often encounter challenges related to integrating vision systems with existing automation equipment and ensuring reliable performance in variable lighting or environmental conditions. Troubleshooting hardware-software interactions and maintaining accurate image recognition in high-speed production environments are also frequent hurdles. Collaborating closely with cross-disciplinary teams, such as robotics engineers and production managers, is essential to address these challenges effectively and deliver robust solutions.

What is the difference between Machine Vision vs Computer Vision?

AspectMachine VisionComputer Vision
Required CredentialsTypically requires engineering degrees, certifications in image processing or automationOften requires computer science or AI-related degrees, certifications in deep learning or AI
Work EnvironmentIndustrial settings, manufacturing plants, quality control labsResearch labs, software development environments, AI startups
Industry UsageManufacturing, automation, roboticsHealthcare, autonomous vehicles, multimedia analysis
Search & Comparison IntentFocuses on industrial applications and hardware integrationFocuses on algorithms, software, and AI models

Machine Vision and Computer Vision are related fields but differ mainly in application and environment. Machine Vision is primarily used in industrial settings for automation and quality control, requiring specialized hardware and engineering skills. Computer Vision is broader, often involving AI and software development for applications like autonomous vehicles and image analysis. Understanding these differences helps in choosing the right career path or job focus within the tech industry.

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What cities are hiring for Machine Vision jobs?

Cities with the most Machine Vision job openings:

What states have the most Machine Vision jobs?

States with the most job openings for Machine Vision jobs include:

What job categories do people searching Machine Vision jobs look for?

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Machine Vision jobs near you
Infographic showing various Machine Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Vision Co-Op

Hunter Engineering Company

Bridgeton, MO • On-site

Full-time

Posted 17 days ago

Hunter Engineering Company rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

13th of 499 rated machine equipment manufacturers

Job description

Looking to build your career with a company that values innovation, stability, and people? Join our dedicated team as a Machine Vision Co-Op in Bridgeton, MO!

Since 1946, Hunter Engineering has been aligning cutting-edge technology with a strong commitment to quality. As a family-owned, American-made company, Hunter is the global leader in automotive service equipment, with our products used in over 130 countries by top vehicle manufacturers, tire companies, and service centers.

Were proud to be recognized as a Best Places to Work finalist by the St. Louis Business Journal for five consecutive years (2022 2026) a testament to our commitment to our people. Here, employees are supported, challenged, and take pride in their work. We offer exceptional benefits, a healthy work-life balance, and meaningful opportunities for professional growth.

If youre ready to join a team thats shaping the future of automotive service, read on.

As a Machine Vision Co-Op, you will be involved in a variety of projects including software development, electronics design, factory support, and product testing.

What Youll Do:

  • Work alongside full-time engineers to develop and improve Hunter products
  • Research computer vision algorithms for images and 3D point clouds. Your research could be the basis of new Hunter products! Research will be done in C++, C#, Python, or other languages depending on project requirements.
  • Design, build, and test software that calibrates Hunter's precision equipment built in Hunter factories. Previous work includes camera, laser, and target calibration using gimbals, robotic arms, or custom-built machines.
  • Work with hardware sensors to evaluate performance and applicability in Hunter products. Examples include new cameras, radar, and ultrasonic sensors. This involves writing software to control the sensors, building development applications, and integrating the results with existing Hunter software.
  • Integrate AI vision algorithms, conventional vision algorithms, and systems programming onto low-power edge devices where high performance really matters.
  • Develop electronics hardware and firmware to integrate with Hunter products using technologies like USB, Ethernet, Wi-Fi, GMSL, and more!
  • Program embedded Linux software to interact with sensors and communicate with Hunter products
  • Create and execute test plans for new and existing hardware designs

What Youll Bring:

  • Minimum 3.0 GPA (must be on resume)
  • Major study in Electrical Engineering, Computer Engineering, or Computer Science
  • Excellent communication skills
  • Experience in one or more of the following areas:
    • Software or firmware development
    • Electronics design
    • AI or data science
    • Software, firmware, or electronics testing

What We Offer:

  • Real-world experience
  • Off-campus team bonding/appreciation event
  • Free Onsite Fitness & Recreation Center

Join us in our mission to Align People and Innovation to Drive Excellence!

  • Make Lives Better Together
  • Take Pride in the Extraordinary
  • Define the Standard

What Hunter Engineering Company employees say

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