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Computer Vision Engineer Jobs in Michigan (NOW HIRING)

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 ...

... from computer vision applications to generative AI models. This position requires a strong ... The ideal candidate will be a versatile engineer who can navigate complex software development ...

... from computer vision applications to generative AI models. This position requires a strong ... The ideal candidate will be a versatile engineer who can navigate complex software development ...

Computer Engineer

Sterling Heights, MI · On-site

$104K - $122K/yr

As an experiencedSoftware Engineer, you will work alongside our U.S. Army Software Engineering Center customer, applying your knowledge and skillsby providing technical engineering services that ...

CAD Engineer

Mesick, MI · On-site

$70K - $83K/yr

The CAD Engineer will develop and manage design templates, produce production drawings, and support ... Specific vision abilities required by this job include close vision, distance vision, color vision ...

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

Senior Autonomy Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

... computer vision, multi-target tracking, or sensor fusion concepts. • Familiarity with ML/DL ... that demonstrate strong software engineering fundamentals. Company : May Mobility is a ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

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Showing results 1-20

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 Jul 11, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $105,912 per year, or $50.9 per hour.
AI Expert Robotics - onsite

AI Expert Robotics - onsite

Eccalon LLC

Detroit, MI

Full-time

Re-posted 14 days ago


Job description

Job Description

The AI Expert – Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications.

Responsibilities

  • Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control
  • Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems
  • 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 system integration
  • Train, evaluate, and deploy ML models in real-world robotic environments
  • Support simulation, testing, validation, and field deployment of AI-enabled robotic systems
  • Analyze system performance and continuously improve autonomy, accuracy, and reliability
  • Document system architectures, models, and technical designs
  • Stay current with emerging AI, ML, and robotics technologies and best practices

Required Qualifications

  • Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field
  • 5+ years of experience in AI/ML and robotics development
  • Strong programming experience in Python and/or C++
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience working with robotic systems, sensors, and actuators
  • Solid understanding of robotics fundamentals including kinematics, controls, and perception
  • Experience deploying AI models to production or real-world environments

Preferred Qualifications

  • Master’s degree or PhD in AI, Robotics, or a related discipline
  • Experience with ROS / ROS2 and robotic middleware
  • Background in autonomous systems, mobile robots, or robotic arms
  • Experience with computer vision, deep learning, or reinforcement learning
  • Familiarity with simulation environments (e.g., Gazebo, Isaac Sim)
  • Experience supporting government, defense, or regulated programs
  • Ability to obtain and maintain a security clearance if required by contract

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017