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

Software: Cognex, Keyence, Allied Vision, Basler, Matrox, GVI, Smart Vision Lighting, AIA ... Ideally, Computer Science, Mechatronics, Electrical Engineer or similar. Equivalent years of ...

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 Jul 11, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
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:
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $111,638 per year, or $53.7 per hour.
Vision Engineer

Vision Engineer

Zobility

Wixom, MI • On-site

Contractor

Medical, Dental, Vision, Life, PTO

Posted 10 days ago


Job description

Job Description:

  • Perform feasibility studies, Cognex Easybuilder, spreadsheet, Keyence laser and Keyence traditional tools.


Requirements:

  • 3+ years experience is ideal
  • Must be able to work alone and/or within a team.
  • Must be able to engage with customer in a professional manner.
  • Matrox DA (Design Assistance), Matrox template programming, AIA certified a benefit not a must.
  • GigE networks.
  • Software: Cognex, Keyence, Allied Vision, Basler, Matrox, GVI, Smart Vision Lighting, AIA
  • Candidates should have the ability to create machine vision inspections based on specification and scope of work.
  • Must have developed applications for Absence/Presence, Kitting, model inspection, barcode, OCR
  • Familiarity using external lights and lighting, filters and lenses.
  • Able to travel to customer sites as needed


Education:

  • AS or BS in Engineering. Ideally, Computer Science, Mechatronics, Electrical Engineer or similar. Equivalent years of experience can be substituted for a degree.

Company Description

Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.