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$23.5K

$96.2K

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How much do machine vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine vision engineer in Florida is $96,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $115,800.00 per year, depending on experience, location, and employer.

What is a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

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

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What are the most commonly searched types of Machine Vision Engineer jobs in Florida?

The most popular types of Machine Vision Engineer jobs in Florida are:

What are popular job titles related to Machine Vision Engineer jobs in Florida?

For Machine Vision Engineer jobs in Florida, the most frequently searched job titles are:

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

The top searched job categories for Machine Vision Engineer jobs in Florida are:

Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $96,228 per year, or $46.3 per hour.

Junior/Middle Computer Vision Engineer ID72410

Miami, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

Other

Posted 19 days ago

Job description

Full time | AgileEngine | United States

Posted On 08/20/2026

Job Information

City Miami

State/Province Florida

33101

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
  • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
  • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
  • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
  • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
  • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
  • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Foundational coding skills in Python;
  • Foundational understanding of machine learning concepts and workflows;
  • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
  • Basic familiarity with cloud environments and compute resources;
  • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
  • Excellent attention to detail, specifically regarding data quality and documentation;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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