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

Computer Vision Engineering Co-op

Toronto, ON ยท On-site

CA$24.50 - CA$28.50/hr

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 ...

Winter Co-op 2027 - Data Engineering

Toronto, ON ยท Hybrid

CA$52K - CA$70K/yr

Our Technology Co-op Program is your launchpad to success, offering the support, structure, and ... Currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field

The Engineering Career Centre (ECC) connects University of Toronto students with meaningful ... Strong computer skills and working knowledge of MS Outlook, Word, Excel, Access, PowerPoint; web ...

Winter Co-op 2027 - AI

Toronto, ON ยท Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning ... Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Marketing Co-Op

Markham, ON ยท On-site

CA$28/hr

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Markham, Ontario ... Industrial Engineering, or related fields. * Pursing second, third, and fourth year of your ...

Marketing Co-Op

Toronto, ON ยท On-site

CA$28/hr

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Markham, Ontario ... Industrial Engineering, or related fields. * Pursing second, third, and fourth year of your ...

Winter Co-op 2027 - AI (12 Months)

Toronto, ON ยท Hybrid

CA$54K - CA$72K/yr

As an AI Co-op, you'll gain hands-on experience applying data science and machine learning ... Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Currently enrolled in a bachelors or master's program in electrical engineering or computer Science ... during the summer or Co-Op term Why join Ericsson. At Ericsson, youll have an outstanding ...

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Computer Programmer Co Op information

See Toronto, ON salary details

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How much do computer programmer co op jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer programmer co op in Toronto, ON is $29.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.43 and $34.87 per hour, depending on experience, location, and employer.

What is a computer programmer co op?

A Computer Programmer Co Op is a student or entry-level position that allows individuals to gain hands-on experience in computer programming while still completing their education. Co Op positions typically involve working with experienced developers on real projects, writing and testing code, and learning about software development processes. These roles are designed to bridge the gap between academic learning and professional work, helping students develop technical and teamwork skills. Co Op terms usually last for a semester or summer and may be paid or unpaid, depending on the company. This experience can significantly enhance a student's employability after graduation.

What types of projects can a computer programmer co op expect to work on during their placement?

As a Computer Programmer Co Op, you can expect to be involved in a variety of projects ranging from debugging existing code, developing new software features, or assisting with automated testing. You'll often work under the guidance of experienced developers, contributing to real-world applications and gaining hands-on experience with current development tools and practices. Collaboration with cross-functional teams, such as QA, design, and product management, is common, providing valuable exposure to the software development lifecycle and team-based problem solving.

What are the key skills and qualifications needed to thrive as a computer programmer co op, and why are they important?

To thrive as a Computer Programmer Co Op, you need a foundational understanding of programming languages such as Java, Python, or C++, along with coursework or experience in computer science. Familiarity with version control systems like Git, integrated development environments (IDEs), and basic debugging tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you succeed in collaborative and learning-focused environments. These skills and qualities enable Co Op programmers to contribute meaningfully to projects while rapidly developing their technical and professional capabilities.

What are the most commonly searched types of Computer Programmer jobs in Toronto, ON?

The most popular types of Computer Programmer jobs in Toronto, ON are:

What are popular job titles related to Computer Programmer Co Op jobs in Toronto, ON?

For Computer Programmer Co Op jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Computer Programmer Co Op jobs in Toronto, ON look for?

The top searched job categories for Computer Programmer Co Op jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Computer Programmer Co Op jobs?

Cities near Toronto, ON with the most Computer Programmer Co Op job openings:

Infographic showing various Computer Programmer Co Op job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $60,470 per year, or $29.1 per hour.

Computer Vision Engineering Co-op

Toronto, ON โ€ข On-site

Magna
Investment Clubs and Venture Capital Companiesย โ€ขย 11 - 50 employees

CA$24.50 - CA$28.50/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job descriptions may display in multiple languagesbased 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 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.

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