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

The Role As a Stamping Vision Engineer you will be responsible for design, implementation, and ... Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter ...

The Role As a Stamping Vision Engineer you will be responsible for design, implementation, and ... Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter ...

The Role As a Stamping Vision Engineer you will be responsible for design, implementation, and ... Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter ...

Computer Vision/ AI Intern- R&D Summer 2026

Troy, MI · On-site

$14.25 - $19/hr

Programming experience with Python/ C++, ROS/ROS2 Hands-on experience with deep learning frameworks such TensorFlow, PyTorch, etc. Good hands-on experience with computer vision algorithms and ...

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

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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 May 31, 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 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 are Computer Vision Engineers?

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 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 are popular job titles related to Computer Vision Engineer jobs in Dearborn, MI? For Computer Vision Engineer jobs in Dearborn, MI, the most frequently searched job titles 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:
Vision Engineer

Full-time

Posted yesterday


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8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

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Job description

Job Description

Work Arrangement

Hybrid - This position requires the employee to be onsite for a minimum of 3 days per week. The primary work location will be Warren, MI. This role will require some travel to various manufacturing sites in North America.

The Role

As a Stamping Vision Engineer you will be responsible for design, implementation, and optimization of machine vision systems for our manufacturing operations. You will be the subject matter expert, responsible for designing, validating, and optimizing novel vision systems to monitor and control the quality of our stamping systems and stamped parts for the press and automation engineering team. This includes being skilled in robot guidance and inspection vision systems along with sequence and flow of operations for the effective utilization of machines, equipment, and facilities necessary to manufacture parts.

In this role, you would be responsible for working with other team members on problem solving and continuous improvement initiativesdaily to achieve operational excellence. This position is responsible for defining requirements, execution of design, analysis, development, testing and control of vision engineering projects for stamping facilities. You will also be required to provide technical direction over other engineers or engineering support personnel and may have work direction responsibilities over a small group with specific engineering objectives both at supplier build shops and stamping facilities.

What You'll Do

  • Develop and implement machine vision solutions for quality inspection, defect detection, robot guidance, automated part racking, and process monitoring.

  • Specify, procure, validate, and upgrade vision system components such as cameras, lenses, lighting, and software while incorporating your experiences with external lights, lighting, filters, and lenses.

  • Collaborate with cross-functional teams and work with controls engineering and IT partners to establish requirements for associated vision systems while analyzing vision system performance to identify areas for improvement in accuracy, reliability, and speed.

  • Lead efforts in root cause analysis and corrective actions related to vision system findings. Utilize vision system data to diagnose issues, identify trends, and improve manufacturing processes. Troubleshoot and resolve technical issues related to vision systems and equipment.

  • Support training of production staff on the operation and maintenance of vision systems. Maintain comprehensive documentation for vision system design, development, and implementation.

  • Work with engineering functions, suppliers, plant personnel and others to implement cost reduction, methods, and manufacturing improvements.

Your Skills & Abilities (Required qualifications)

  • Bachelor of Science in Engineering (Mechanical, Electrical and/or Computer, Manufacturing Systems Engineering, or Computer Science) or equivalent experience will be considered. Master of Science degree is preferred.

  • 3+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.

  • Ability to travel up to 50% of the time domestically and internationally.

  • High level of integrity, ability to deal with ambiguity, take initiative/self-directed.

  • Experience in coordinating design & construction activities - preferably in automotive manufacturing facilities.

  • Experience with project management methodologies to manage budget constraints, varying production schedules and OEM counterparts.

  • Understanding of Microsoft software including MS Project.

  • Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter Visualization, etc.).

What Will Give You A Competitive Edge (Preferred Qualifications)

  • 5+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.

  • Demonstrated experience developing vision system platforms (e.g., Matrox, Cognex, Keyence, PhotoNEO, Fanuc 2D/3D) and programming languages (e.g., Python, C++, OpenCV).

  • Strong understanding of image processing algorithms, optics, and lighting principles.

  • Hands-on experience with industrial automation systems (e.g., PLCs, robotics).

  • Familiarity with advanced defect detection techniques, AI-based vision systems, and SPC methodologies.

  • Experience in related STEM (Science Technology Engineering Mathematics) field.

#LI-SB2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel on a regular basis (25-50%) for this role. This job may be eligible for relocation benefits.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908