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Machine Vision Jobs (NOW HIRING)

Wood Plc

Vision Applications Engineer

Wixom, MI

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred.This position is hand on engineering and requires aptitude in the following areas: ( On ...

Wood Plc

Vision Applications Engineer

Nashville, TN · On-site

Knowledge of machine vision programming, optical designs, design logic, camera logic and PLC logic preferred. This position is hand on engineering and requires aptitude in the following areas: ( On ...

Amcor

Vision Engineer

Oshkosh, WI

Vision inspection and machine vision focal. Strategic mindset with strong analytical and problem-solving skillset to troubleshoot complex automation/vision system challenges. Strong knowledge in ...

Amcor plc

Vision Engineer

Oshkosh, WI · On-site

Vision inspection and machine vision focal. Strategic mindset with strong analytical and problem-solving skillset to troubleshoot complex automation/vision system challenges. Strong knowledge in ...

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Machine Vision information

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How much do machine vision jobs pay per hour?

As of Jul 2, 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 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.

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 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, and why are they important?

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.
More about Machine Vision jobs
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? The top searched job categories for Machine Vision jobs are:
Machine Vision jobs near you
Infographic showing various Machine Vision job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 16% Part Time, and 7% 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.
Field Applications Engineer (FAE) - Manufacturing (Machine Vision & AI/ML)

Field Applications Engineer (FAE) - Manufacturing (Machine Vision & AI/ML)

Matroid

Remote

Full-time

Medical, Dental, Vision

Posted 2 days ago

Job description

About Matroid
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.
Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are seeking a hands-on, customer-focused Field Applications Engineer (FAE) to support the deployment and optimization of machine vision and AI-driven solutions in manufacturing environments. This role is highly technical and field-based, requiring frequent travel to customer facilities (50%+) to ensure successful implementation, integration, and performance in real-world production settings. You will work directly on factory floors with engineering, operations, and quality teams to solve complex inspection, automation, and process challenges-leveraging computer vision and AI/ML to improve quality, throughput, and efficiency.
What you'll do
On-Site Deployment & Support
  • Working directly with the sales and deep-learning teams to most effectively problem solve, support, and expand Matroid by users.
  • Travel to customer manufacturing facilities (50%+ travel required) for system installation, commissioning, and support
  • Deploy and configure vision systems (cameras, optics, lighting, edge devices) in production environments
  • Troubleshoot electrical, mechanical, and software issues under real-time production constraints
  • Ensure minimal downtime and rapid resolution of issues

Machine Vision & AI/ML Implementation
  • Design and optimize vision solutions for inspection, defect detection, measurement, and guidance
  • Deploy and validate AI/ML models for real-world use (e.g., classification, object detection, segmentation)
  • Collect, label, and manage image datasets to improve model performance
  • Tune models and systems for accuracy, latency, and robustness in variable factory conditions
  • Bridge the gap between data science models and production-ready systems

System Integration & Optimization
  • Integrate solutions with PLCs, HMIs, robotics, and existing automation systems
  • Support connectivity with MES, SCADA, and plant network infrastructure
  • Optimize system performance for throughput, yield, and first-pass quality
  • Execute proof-of-concepts (POCs), pilot programs, and full production rollouts

Customer Training & Enablement
  • Train operators, engineers, and quality teams on system operation and best practices
  • Develop documentation, SOPs, and troubleshooting guides
  • Support long-term adoption and continuous improvement initiatives

Customer Collaboration
  • Act as a trusted technical advisor to manufacturing, quality, and operations teams
  • Translate production and inspection challenges into scalable technical solutions
  • Provide structured feedback to product and engineering teams to improve system performance and usability

Success Metrics
  • Successful deployment and uptime of vision/AI systems in production
  • Model performance (accuracy, false positive/negative rates) in real-world conditions
  • Reduction in defects, scrap, or manual inspection
  • Improvements in throughput and overall equipment effectiveness (OEE)
  • Customer satisfaction and repeat engagements

What you bring to the table
  • Bachelor's degree in Engineering, Computer Science, or related technical field
  • 3-8+ years of experience in manufacturing, industrial automation, or field engineering
  • Hands-on experience with machine vision systems (image formation) in industrial environments
  • Strong troubleshooting skills across hardware and software systems
  • Ability to travel frequently (50% or more), including time on factory floors

Preferred
  • Experience with:
    • Computer vision frameworks (e.g., OpenCV, deep learning-based tools)
    • AI/ML model deployment in production environments
    • PLCs (Allen-Bradley, Siemens) and industrial automation systems
    • Industrial networks (Ethernet/IP, PROFINET, Modbus)
    • Cameras, lenses, lighting, and image acquisition systems
  • Familiarity with:
    • Data annotation tools and dataset management
    • Edge computing or GPU-based inference systems
    • Lean manufacturing, Six Sigma, or continuous improvement methodologies

Bonus points if...
  • Strong hands-on expertise in machine vision and AI-driven inspection systems
  • Ability to troubleshoot and optimize systems in high-pressure production environments
  • Systems thinking across hardware, software, and data pipelines
  • Clear communication with operators, engineers, and executives
  • Adaptability in fast-paced, variable manufacturing conditions
  • Located near a major airport for necessary travel

What we offer in return
  • Competitive pay and equity
  • The chance to constantly work on stimulating intellectual challenges
  • Gym membership reimbursement
  • Medical, dental, and vision insurance with 100% paid premiums
  • A budget for whatever hardware or software will make you most effective
  • Regular tech talks to discuss the latest advances in CV, DL and software engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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