Computer Vision Engineering Co-op

Posted 5 Hours Ago
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Toronto, ON, CAN
Hybrid
25-29 Hourly
Internship
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
Co-op will support computer vision and ML work for industrial applications (defect detection, 3D reconstruction, QA). Responsibilities include data analysis and presentations, building ML/data pipelines on cloud, developing and testing software solutions, and evaluating models. Requires strong Python and familiarity with deep learning frameworks; ROS2 and cloud experience are assets.
Summary Generated by Built In
Job descriptions may display in multiple languages based on your language selection.
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 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 1, 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.

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:
Fixed Term (Fixed Term)
Group:
Magna Corporate

Skills Required

  • Currently attending university (minimum 3rd year) and seeking a PEY/co-op term.
  • PEY/co-op student in Mechanical, Electrical, Computer, Computer Science, or equivalent engineering, mathematics, or science discipline.
  • Strong Python programming experience.
  • Familiarity with deep learning frameworks (TensorFlow or PyTorch).
  • Familiarity with cloud platforms.
  • Experience with software development processes.
  • Experience in computer vision tasks (image classification, object detection, semantic segmentation, 3D reconstruction).
  • Experience with ROS2.
  • Proficient in Microsoft Office products (Excel, Word, PowerPoint).
  • Strong technical and analytical skills and professional communication (written and verbal).

What the Team is Saying

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Magna International Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, and vision in the U.S., with wellness and mental‑health support through an Employee & Family Assistance Program; some locations are highlighted as offering “exceptional” coverage. This signals solid core protection across major health needs.
  • Retirement Support A 401(k) with company match, profit‑sharing, and pension/other long‑term programs are cited, and company materials confirm ongoing, company‑funded retirement and benefit obligations. This indicates substantive long‑term financial support beyond base pay.
  • Wellbeing & Lifestyle Benefits Offerings include FSAs/HSAs, disability and life insurance, wellness programs, and discounts such as pet/auto insurance and retailer perks. Flexible schedules, hybrid/remote options, tuition reimbursement, job training, and conferences broaden work‑life and development support.

Magna International Insights

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The Company
HQ: Aurora, Ontario
171,000 Employees
Year Founded: 1957

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.

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Magna International Teams

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About our 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.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
Learn more

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