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Computer Vision Engineer Jobs in Dearborn, MI (NOW HIRING)

Lead Perception Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Lead Perception Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Bachelor's degree in Electrical and Computer Engineering, Software Engineering, Computer Science ... vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the ...

Bachelor's degree in Electrical and Computer Engineering, Software Engineering, Computer Science ... vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the ...

Showing results 41-60

Computer Vision Engineer information

See Dearborn, MI salary details

$44.6K

$111.6K

$126.3K

How much do computer vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer vision engineer in Dearborn, MI is $111,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $120,800.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Dearborn, MI?

The most popular types of Computer Vision Engineer jobs in Dearborn, MI are:

What job categories do people searching Computer Vision Engineer jobs in Dearborn, MI look for?

The top searched job categories for Computer Vision Engineer jobs in Dearborn, MI are:

What cities near Dearborn, MI are hiring for Computer Vision Engineer jobs?

Cities near Dearborn, MI with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Dearborn, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,638 per year, or $53.7 per hour.

Controls Engineer - PLC/CNC Automation

Source Mantra Inc

Sterling Heights, MI โ€ข On-site

$73K - $93K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Controls Engineer โ€“ PLC/CNC Automation

Overview

We are seeking an experienced Controls Engineer to support manufacturing automation, control systems, and equipment performance improvements. The ideal candidate will have expertise in PLC programming, CNC systems, robotics, automation troubleshooting, and manufacturing control systems while collaborating with cross-functional teams to improve equipment reliability and production efficiency.

Key Responsibilities
  • Develop and implement improvements to control systems and manufacturing equipment.
  • Analyze manufacturing system data to improve equipment performance.
  • Lead troubleshooting activities to identify root causes and implement corrective actions.
  • Coordinate resources to resolve equipment performance and downtime issues.
  • Support the training of manufacturing personnel and maintenance electricians.
  • Assist with the integration of controls into manufacturing information systems.
  • Troubleshoot automation equipment, robotics, machinery, and control systems.
  • Monitor equipment cycle times using plant monitoring software.
  • Coordinate and support control system installation projects.
  • Reprogram equipment to support engineering changes and process improvements.
  • Maintain backup programs for machinery and automation systems.
  • Program new automation equipment, material handling systems, machinery, and robots.
  • Participate in equipment safety reviews and risk assessments.
Required Qualifications
  • High School Diploma or GED.
  • 5+ years of related controls engineering or automation experience.
  • Experience with PLC controllers, including Siemens, Rexroth, or Allen-Bradley.
  • Experience with PLC and CNC systems.
  • Knowledge of manufacturing software systems.
  • Strong leadership, communication, and teamwork skills.
  • Experience working with maintenance teams, vendors, and cross-functional personnel.
  • Proficiency with Microsoft Excel, PowerPoint, and Outlook.
Preferred Qualifications
  • Bachelor's degree in Engineering.
  • Experience with robotics and computer vision.
  • Strong written and verbal communication skills.
  • Experience with Lean Manufacturing and Six Sigma methodologies.
  • Knowledge of 8D and 5 Why problem-solving techniques.
  • Experience with Lean tools including 5S, Kanban, Poka-Yoke, and Value Stream Mapping.
  • Familiarity with UL508A and NFPA79 standards.
  • Experience programming and troubleshooting Siemens Step 7 and TIA Portal.
  • Experience with Siemens Power Line and Solution Line configuration and programming.
  • Experience troubleshooting Fanuc controls.
Experience troubleshooting CNC equipment.