Machine Vision Co op Student

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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
We are seeking a motivated Machine Vision co-op student to join our team on a one-year PEY. This role requires a foundational understanding of computer vision and machine learning technologies, particularly for industrial applications such as defect detection, 3D reconstruction, quality assurance, and process optimization.
Proficiency in Python and C++ is expected. A solid grasp of mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.
Essential Duties and Responsibilities:

• Perform and present data analysis based on supervisor requests.
• Create data/machine learning pipelines using popular cloud platforms.
• Participate in the development and improvement of software solutions.
• Test and evaluate developed solutions.

Qualifications:

• Undergraduate student in Mechanical Engineering, Electrical Engineering, Computer Engineering/Science, or a related discipline.
• Strong programming experience in Python and C++.
• Familiarity with Deep Learning frameworks (TensorFlow or PyTorch) and cloud platforms preferred.
• Experience with software development processes preferred.
• Experience in computer vision tasks such as image classification, object detection, semantic segmentation, or 3D reconstruction is a plus.

Education / Experience

• Currently enrolled in a university program.

Special Knowledge / Skills:

• Strong technical and analytical skills.
• Ability to approach complex engineering systems with creativity.
• Proficient in Microsoft Office (Excel, Word, Power Point).
• Strong written and verbal communication skills.

Physical Demands / Work Environment:

• Normal sitting or standing.
• Average mobility within an office environment.
• Ability to perform standard computer-based tasks.
• May be exposed to an automotive manufacturing environment.

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.
Worker Type:
Fixed Term (Fixed Term)
Group:
Magna Corporate