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Computer Vision Engineer Intern Jobs in Michigan

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.

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.

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.

Performance Engineer Intern

Auburn Hills, MI

$15.75 - $20.50/hr

Position Summary The Performance Engineer Intern is an entry-level developmental position designed ... Exposure to CAD, MATLAB, Python, data acquisition, Excel analysis, or other technical software.

As an intern, youwon'tjustobserve-you'llcontribute to meaningful projects, gain exposure to leaders ... They may work with a variety of tools, including CAD, FEA, and our Test Labs to develop new product ...

$35/hr

Opportunities Available As a Mechanical Engineering intern at Stryker, you will be placed in one of ... They may work with a variety of tools, including CAD, FEA, and our Test Labs to develop new product ...

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Mechatronics, Computer Engineering, or a related field. * Strong analytical and problemsolving ...

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Computer Engineering, or a related field. * Strong analytical and problem‑solving skills.

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Computer Engineering, or a related field. * Strong analytical and problem-solving skills.

Opportunities Available As a Mechanical Engineering intern at Stryker, you will be placed in one of ... They may work with a variety of tools, including CAD, FEA, and our Test Labs to develop new product ...

Opportunities Available As a Mechanical Engineering intern at Stryker, you will be placed in one of ... They may work with a variety of tools, including CAD, FEA, and our Test Labs to develop new product ...

Opportunities Available As a Mechanical Engineering intern at Stryker, you will be placed in one of ... They may work with a variety of tools, including CAD, FEA, and our Test Labs to develop new product ...

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Computer Vision Engineer Intern information

What does a computer vision engineer intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a computer vision engineer intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a computer vision engineer intern, and why are they important?

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.

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

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

Infographic showing various Computer Vision Engineer Intern job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Robotics Engineer, Perception/Computer Vision

Warren, MI • On-site

Contractor

Re-posted 12 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.