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Internship Computer Vision Engineer Jobs in Michigan

Perrigo Company plc

Vision Engineer

Allegan, MI · On-site

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.

Perrigo Company plc

Vision Engineer

Allegan, MI · On-site

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.

Perrigo

Vision Engineer

Allegan, MI · On-site

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.

Brooksource

Software Engineer

Lansing, MI · On-site

About the Role As the Junior Software Developer, you will be responsible for developing and ... An ideal candidate would have an internship, computer-related role, on-campus technology job or ...

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Internship Computer Vision Engineer information

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

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 Internship Computer Vision Engineer jobs in Michigan?

For Internship Computer Vision Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Internship Computer Vision Engineer jobs in Michigan look for?

The top searched job categories for Internship Computer Vision Engineer jobs in Michigan are:

What cities in Michigan are hiring for Internship Computer Vision Engineer jobs?

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

Internship Computer Vision Engineer jobs near you

Robotics Engineer, Perception/Computer Vision

Warren, MI • On-site

Nastech Global
See more jobs at Nastech Globalexternal

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.