Computer Vision/ AI Intern-R&D

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What we offer:

Group Summary:

POSITION OVERVIEW
Magna Corporate R&D Intern program provides students the opportunity to be a key player within 
the organization.
We seek a self-motivated intern to support our research team in projects focused on Computer 
Vision, Deep Learning, Image segmentation, and Pose estimation to contribute to new technology 
development in localization and 3D scene understanding/reconstruction.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Supports the team in the industrialization of the existing 6D pose estimation pipelines.
• Work with an existing vision, DL model, and toolset and improve aspects of it.
• Support the research and development of new DL/ML algorithms in object detection, 
segmentation, and 6D pose estimation domains.
QUALIFICATIONS:
• Experience building systems based on machine learning and/or deep learning methods.
• Programming experience with Python/ C++, ROS/ROS2
• Hands-on experience with deep learning frameworks such TensorFlow, PyTorch, etc.
• Good hands-on experience with computer vision algorithms and libraries, such as OpenCV, 
• Development experience in a Linux environment (Ubuntu is preferred)
• Self-starter and able to work in a collaborative and result-oriented environment.
EDUCATION / EXPERIENCE
• Current enrollment in computer science, electrical engineering, computer engineering, 
mechanical engineering, or robotics with emphasis on computer vision and machine learning 
degree-seeking program at the graduate-level
SPECIAL KNOWLEDGE / SKILLS:
• A strong knowledge and understanding of the fundamentals of linear algebra, 3D geometry and 
computer vision is required.
• Hands-on experience with deep learning models for image/video understanding and 
human/object pose estimation is required.
• Strong knowledge of programming techniques, especially for parallel architectures, is a plus.
PHYSICAL DEMANDS / WORK ENVIRONMENT:
• Normal amount of sitting or standing, average mobility to move around an office (Troy, MI) 
environment, able to conduct a normal amount of work at a computer.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.