What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
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.
Worker Type:
Intern (Fixed Term) (Trainee)
Group:
Magna Corporate
Skills Required
- Current enrollment in a degree-seeking program focusing on computer vision and machine learning at the graduate-level
- Experience building systems based on machine learning and/or deep learning methods
- Programming experience with Python/C++ and ROS/ROS2
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Experience with computer vision algorithms and libraries, such as OpenCV
- Development experience in a Linux environment (Ubuntu preferred)
- Strong knowledge of linear algebra and 3D geometry
- Hands-on experience with deep learning models for image/video understanding
Magna International Compensation & Benefits Highlights
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Strong & Reliable Incentives — Profit sharing is formalized in the corporate constitution, allocating a portion of qualifying pre‑tax profits to employees and typically delivered in cash and/or Magna equity. This structure is positioned as unusually strong for a large manufacturer.
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Healthcare Strength — Core U.S. coverage includes medical, dental, vision, disability and life insurance, plus flexible spending accounts and an Employee & Family Assistance Program. The breadth of this lineup aligns with mainstream comprehensive employer healthcare.
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Retirement Support — Retirement offerings include a 401(k) with company match and profit‑sharing eligibility, with some regions/plants still maintaining defined‑benefit pensions. This mix provides multiple avenues for long‑term savings beyond base pay.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
Gallery
Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.











