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Computer Vision Engineer Jobs in Warren, MI (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 ...

Factory Controls Engineer

Sterling Heights, MI · On-site

$78K - $101K/yr

Controls Engineer working in OEM Manufacturing Plant as a Controls Engineer. We believe our ... Robotics, Computer Vision Experience Required: * 5+ yrs of related experience * Ability to work ...

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.

... for engineering changes and improvements Maintain program backups for machinery and automation ... Computer Vision Experience Required * 5+ yrs of related experience * Ability to work with UAW ...

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Manufacturing Controls Engineer * Develop and implement improvements to control systems and ... Robotics, Computer Vision Experience Required: * Education: High School Diploma * Experience: 5+ ...

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Computer Vision Engineer information

See Warren, MI salary details

$45.6K

$114.1K

$129.1K

How much do computer vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer vision engineer in Warren, MI is $114,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $123,500.00 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 Warren, MI?

The most popular types of Computer Vision Engineer jobs in Warren, MI are:

What job categories do people searching Computer Vision Engineer jobs in Warren, MI look for?

The top searched job categories for Computer Vision Engineer jobs in Warren, MI are:

What cities near Warren, MI are hiring for Computer Vision Engineer jobs?

Cities near Warren, MI with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Warren, MI as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $114,131 per year, or $54.9 per hour.

AI Expert Robotics - onsite

Eccalon LLC

Detroit, MI

Full-time

Re-posted 26 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