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Computer Vision Engineer Jobs in Michigan (NOW HIRING)

Perrigo

Vision Engineer

Allegan, MI · On-site

Description Overview The Vision Engineer will provide technical and compliance support to ... Experience with computer system validation and change management in an FDA regulated environment.

General Motors

Senior Vision Engineer

Warren, MI · On-site

$90 - $130/hr

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

Perrigo Company plc

Vision Engineer

Allegan, MI · On-site

Description Overview The Vision Engineer will provide technical and compliance support to ... Experience with computer system validation and change management in an FDA regulated environment.

Perrigo Company plc

Vision Engineer

Allegan, MI

Description Overview The Vision Engineer will provide technical and compliance support to ... Experience with computer system validation and change management in an FDA regulated environment.

General Motors

Senior Vision Engineer

Warren, MI

$98K - $134K/yr

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

Magna

R&D- Computer Vision Engineering Intern

Troy, MI

$16 - $20.50/hr

The role requires a basic understanding of computer vision and machine learning technologies ... Knowledge of Python programming languages is expected. Additionally, knowledge of relevant ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Michigan

Computer Vision Engineer information

See Michigan salary details

$42.3K

$105.9K

$119.8K

How much do computer vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer vision engineer in Michigan is $105,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $114,600.00 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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Michigan?

The most popular types of Computer Vision Engineer jobs in Michigan are:

What are popular job titles related to Computer Vision Engineer jobs in Michigan?

For Computer Vision Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Michigan look for?

The top searched job categories for Computer Vision Engineer jobs in Michigan are:

What cities in Michigan are hiring for Computer Vision Engineer jobs?

Cities in Michigan with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 17% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $105,912 per year, or $50.9 per hour.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Re-posted 23 days ago

Job description

Position: Senior Robotics Engineer, Perception/Computer Vision

Location: Warren, Michigan

Duration: 12+Months with possible extensions

Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)

About the Role:

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

Key Responsibilities:

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

Required Qualifications:

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

Preferred Qualifications:

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.