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Computer Vision Engineer Jobs in Michigan (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 ยท 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 ...

Technical Product Manager

Byron Center, MI ยท On-site

$151K - $175K/yr

Computer Vision & AI: Edge-based cameras for ADAS (Advanced Driver Assistance Systems), driver ... Proven experience managing or engineering complex hardware-plus-software systems. Direct experience ...

Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications * Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end ...

Automation Process Engineer

Redford, MI ยท On-site

$92K - $162K/yr

... computer vision systems for robot guidance and inspection purposes. 2. Designing hardware in CAD ... Automation Process Engineer - positions offered by Ford Motor Company (Redford, Michigan)

Showing results 21-40

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.

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 cities in Michigan are hiring for Computer Vision Engineer jobs?

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

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.

Software Engineer III - Liberty Robotics

LMI Technologies

Dexter, MI โ€ข On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 17 days ago


Job description

At Liberty Robotics, we provide 3D volumetric vision guidance systems for robot applications. Our systems improve manufacturing, material/part handling, and logistics operations performed in industrial environments. We are looking for highly qualified applicants to join our core Technology Research team. We drive to inspire like-minded individuals who envision a future where manufacturing assembly and material handling processes are faster, safer, and more reliable.
We recently joined LMI Technologies, recognized as one of Canada’s Best Workplaces. Together, our teams work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world.
We are seeking an analytical and technically mature Software Engineer III to join our core team. Collaborating in a fast-paced environment alongside dedicated researchers and engineers, you will serve as a high-visibility individual contributor with complete, end-to-end software ownership.
This stable, core role is designed for a self-starting engineer who can seamlessly bridge the gap between high-level mathematical research and production-grade code. In this position, you will be responsible for taking advanced algorithmic concepts out of a clean simulation environment and successfully deploying them onto a loud, unpredictable manufacturing floor.
Typical Duties, Activities, Responsibilities
  • Algorithmic Design & Validation: Formulate, implement, and validate advanced 2D and 3D computer vision pipelines from mathematical first principles.
  • Transitioning Lab to Field: Port, optimize, and deploy production-quality code that interfaces with physical depth sensors, ensuring real-time control loops remain deterministic and lag-free.
  • Strategic R&D Decision Making: Evaluate system architectures to intelligently determine when to leverage classical image processing workflows versus modern deep learning models to eliminate operational latencies.
  • Technical Ownership & Code Quality: Champion software development best practices by leading meticulous peer code reviews, refactoring legacy components, and managing complex multi-codebase integrations.
  • Hands-on Validation: Collaboratively troubleshoot and fine-tune your vision pipelines live on physical hardware and prototype configurations.
Education and Qualifications
  • Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related technical field.
  • Spatial Mathematics: Solid foundational understanding of linear algebra, geometry, coordinate systems, and rigid-body transformations.
  • 3D Perception Stack: Hands-on experience with 3D computer vision and perception algorithms, including point cloud processing, 3D registration, pose estimation, object detection, object fitting, reconstruction, and related techniques.
  • 2D Image Processing: Experience with 2D image processing and computer vision methods, including image filtering, feature extraction, segmentation, object detection, image registration, and morphological operations.
  • Software Development: Industry experience developing software, algorithms, or perception systems for real-world applications.
  • Analytical Rigor: Strong analytical and problem-solving skills, with the ability to develop and validate algorithms.
  • Production Coding: Demonstrated ability to write efficient, maintainable, and production-quality software in C++ and/or Python.
  • Field Commitments: Willingness to travel to customer and OEM installation sites (approximately 1 week out of 10) to perform live field validations on active machinery.
  • Professional Tenure: Extensive career background comprising 5 to 10 years of focused technical expertise in 3D perception and image processing stacks.
Preferred Qualifications
  • Advanced Degree: M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
  • Domain Expertise: Professional background within the Logistics or Automotive industry.
  • Imaging & Optics: Understanding of camera and imaging systems, including camera calibration, pinhole camera models, stereo vision, and depth sensing technologies.
  • Mathematical Optimization: Background in linear and nonlinear optimization, with practical experience applying optimization techniques to computer vision, robotics, or perception problems.
  • Advanced AI Evaluation: Knowledge of machine learning and deep learning techniques, including CNNs, Transformers, foundation models, multimodal learning, pre-training, fine-tuning, and model deployment, paired with the ability to evaluate the strengths and limitations of modern AI approaches.
  • Hardware Acceleration: GPU programming experience (e.g., CUDA, OpenCL, or related frameworks) is a plus.
  • Engineering Best Practices: Familiarity with software development best practices, including version control, testing, code reviews, and continuous integration.
  • Location Priority: Candidates located in, or willing to relocate to, the Ann Arbor, Michigan area are preferred.
Perks and Benefits
  • Location: Fully on-site at our technology hub in the Ann Arbor/Dexter, Michigan area.
  • Environment: A collaborative, innovative, and cubicle-free R&D laboratory designed for engineers who perform at their best under high personal accountability rather than heavy supervision.
  • Compensation: We offer competitive salary + Eligibility for Profit Sharing Program Participation (pending successful completion of probationary period and based on business performance).
  • Health Benefits: Your health and wellness are vital to the success of Liberty Robotics, and our benefit plans provide an important foundation of stability to you and your family. We are proud to provide the following benefits to our employees: Medical and Prescription Drug, Dental, Vision, Basic Life and Accidental Death & Dismemberment (AD&D) Insurance, Short-Term Disability, Long-Term Disability, Employee Assistance Program, Travel Assistance, and Will Prep.
  • Growth & Development: An annual Education Support Program for training and professional growth, plus annual performance reviews.
  • Enjoy free snacks and drinks, team-building events, tenure awards, and our official "May the 4th" (Star Wars Day) company holiday!
  • Please note that financial relocation assistance and immigration sponsorship are not available for this position.
  • We are recognized as a “Great Place to Work” for 10 consecutive years!
Our Recruitment Process
  • While we appreciate your interest in Liberty Robotics and LMI Technologies very much, we may only be able to respond to candidates selected for further consideration.
  • We believe in a transparent and collaborative hiring journey. Our goal is to ensure you are as excited about us as we are about you. Below is the typical path (can vary by position):
    • Talent Discovery (Human Resources): An initial screening call focused on your professional background, language and communication proficiency, and cultural alignment with the team as well as overview of role and company.
    • Technical Assessment!
    • Role Fit (Hiring Manager): A deep dive into your experience, knowledge and skills as well as sharing of role expectations and team initiatives:
      • 1st Round: General background and foundational knowledge in areas such as mathematics, image processing, and programming.
      • 2nd Round: Problem solving skills and ability to apply knowledge to practical challenges.
  • Cultural & Peer Alignment (Hiring Team & Stakeholders): A collaborative session with prospective colleagues and cross-functional partners to explore technical synergy, shared experiences, and the professional landscape at Liberty Robotics.

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