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

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Signal /Image Processing, Applied Mathematics , Detection, Computational Imaging, Computer Vision

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Signal /Image Processing, Applied Mathematics , Detection, Computational Imaging, Computer Vision

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Signal /Image Processing, Applied Mathematics , Detection, Computational Imaging, Computer Vision

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 ...

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 ...

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

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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 Aug 19, 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 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 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:

Infographic showing various Computer Vision Engineer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $118,882 per year, or $57.2 per hour.

Computer Vision & Physical AI Integration Engineer

Lear Corporation

Southfield, MI

$96K - $129K/yr

Full-time

Posted 15 days ago


Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

104th of 159 rated electronics manufacturers


Job description

Lear For You

We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.

A path to a better career. A better future.

Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we're named one of the World's Most Admired Companies.

They're the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.

Are you ready for a better career? A better future?

Job Description
  • The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear's E-Systems manufacturing operations.
  • This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems.
  • Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear's global manufacturing network
  • Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership.
  • Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear's global advanced manufacturing strategy
Responsibilities
  • Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
  • Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
  • Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
  • Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
  • Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
  • Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
  • Support deployment and standardization of successful solutions across multiple manufacturing plants.
  • Troubleshoot and optimize system performance in production environments
  • Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
  • Up to 25% travel
Education Requirements
  • Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field
Experience Requirements
  • 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
  • Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors.
  • Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration.
  • Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment.
  • Ability to solve complex manufacturing challenges through structured problem-solving and technology application.
  • Strong communication and collaboration skills across engineering, operations, IT, and external partners.

 

Bonus If You Have:

  • Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications.
  • Experience in wire harness manufacturing environments.
  • Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration.
Certifications / Licenses
Equal Opportunity Employer

Lear Corporation is committed to fair, meritbased employment practices and equal opportunity.

We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.

Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.


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