Co Op Computer Vision Jobs in Toronto, ON (NOW HIRING)

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Position Overview
We are seeking a motivated Computer Vision Engineering Co Op Student to join our team. This role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications such as defect detection, 3D reconstruction, quality assurance, and process optimization. Strong Python programming skills are required. Additionally, knowledge of relevant mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.

Position Term

This position will commence on September 21, 2026, and conclude on August 27, 2027.

Essential Duties and Responsibilities

• Perform and present data analysis results based on requests from supervisors.

• Create data and machine learning pipelines on one of the leading cloud platforms.

• Participate in the development and improvement of software solutions.

• Test and evaluate developed solutions.

Qualifications

• PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline.

• Strong Python programming experience is required.

• Familiarity with deep learning frameworks (TensorFlow or PyTorch) is required.

• Familiarity with cloud platforms is preferred.

• Experience with software development processes is preferred.

• Experience in computer vision tasks such as image classification, object detection, semantic segmentation, or 3D reconstruction is considered an asset.

• Experience with ROS2 is preferred.

Education / Experience

• Currently attending university (minimum 3rd year) and seeking a PEY/co-op term.

Compensation

• The compensation range for this position is $24.50 to $28.50 per hour.

Special Knowledge / Skills

• Strong technical and analytical skills.

• Ability to work on complex engineering systems using creative approaches.

• Proficient in Microsoft Office products (Excel, Word, and PowerPoint).

• Strong professional communication skills, both written and verbal.

Physical Demands / Work Environment

• Normal amounts of sitting or standing, with average mobility required to move throughout an office environment.

• Ability to perform a normal amount of computer-based work.

• The candidate may be exposed to an automotive manufacturing environment.

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.

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.

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