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Computer Vision Engineer Jobs in Ann Arbor, MI (NOW HIRING)

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

As a Senior ML Engineer for Mapping, you will build the next generation of our mapping and ... Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ...

Kla

Sr. Algorithm Engineer (Image Processing)

Ann Arbor, MI · Hybrid

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Designing, developing, and optimizing innovative image processing and computer vision algorithms ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

May Mobility

Senior Autonomy Engineer

Ann Arbor, MI

$102K - $140K/yr

Familiarity with heuristic / classical perception, computer vision, multi-target tracking, or ... strong software engineering fundamentals. Physical Requirements * Standard office working ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Ann Arbor, MI

Computer Vision Engineer information

See Ann Arbor, MI salary details

$47.4K

$118.9K

$134.5K

How much do computer vision engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for computer vision engineer in Ann Arbor, MI is $118,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $128,600.00 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.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Ann Arbor, MI? For Computer Vision Engineer jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Ann Arbor, MI look for? The top searched job categories for Computer Vision Engineer jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Computer Vision Engineer jobs? Cities near Ann Arbor, MI with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Ann Arbor, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,882 per year, or $57.2 per hour.

Vision Engineer in Wixom, MI (Onsite)

Inficare Technologies

Wixom, MI • On-site

Contractor

Posted 29 days ago

Job description

Job description:
Job title: Vision Engineer
Duration: 6+ months contract with possibility of extension
Location: Wixom, MI (Onsite)
Job Summary:
We are seeking an experienced Vision Engineer to join our team in Wixom, MI to support multiple high-priority automation projects.
The selected candidate will primarily work onsite in Wixom and will later travel to Toledo for system commissioning as required.
No travel or relocation expenses can be provided.
The ideal candidate will have strong hands-on experience with Keyence and Cognex machine vision systems and be capable of designing, developing, and implementing machine vision inspection applications for industrial automation.
Key Responsibilities:
Design, develop, and implement machine vision inspection systems based on customer specifications and project requirements.
Perform feasibility studies for machine vision applications.
Develop vision applications using Cognex EasyBuilder, Keyence, and related vision tools.
Configure and optimize machine vision systems for inspection, barcode reading, OCR, presence/absence detection, kitting verification, and model inspection.
Work with external lighting, filters, lenses, and GigE camera networks.
Support commissioning, testing, troubleshooting, and system optimization at customer sites.
Collaborate with engineering teams and communicate professionally with customers.
Travel to customer sites (primarily Toledo) as needed for commissioning and support.
Required Qualifications:
Associate's or Bachelor's degree in Computer Science, Mechatronics, Electrical Engineering, or a related engineering discipline (equivalent experience will also be considered).
3+ years of experience in Machine Vision Engineering.
Strong hands-on experience with:
Keyence Vision Systems
Cognex Vision Systems
Cognex EasyBuilder
Experience developing applications for:
Presence/Absence Inspection
Kitting Verification
Model Inspection
Barcode Reading
OCR (Optical Character Recognition)
Experience working with:
GigE Vision Networks
External Lighting, Filters, and Lenses
Ability to work independently as well as in a collaborative team environment.
Excellent communication and customer interaction skills.
Willingness to travel for commissioning activities.
Preferred Qualifications:
Experience with Matrox Design Assistant (DA) and template programming.
Experience with Allied Vision, Basler, GVI, and Smart Vision Lighting.
AIA Certification is a plus but not required.

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