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Machine Learning Co Op Jobs in Ontario (NOW HIRING)

Magna

Computer Vision Engineering Co-op

Toronto, ON

CA$24.50 - CA$28.50/hr

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.

University of Guelph

Co-Op Coordinator

Guelph, ON · On-site

Department: Experiential Learning This position is represented by the agreement between the ... Co-op Coordinators assume complete marketing responsibility and student advisement for co-op ...

Laurin

Student Co-op

Nepean, ON · On-site

CA$23/hr

We're seeking a Construction Co-op Student who is eager to turn classroom learning into meaningful project experience. This opportunity is ideal for a motivated student who wants broad exposure to ...

Kinectrics

CA$20.78 - CA$25.67/hr

Purchasing Co-op Student (Fall 2026) About Us Ready to kickstart your career in one of Canada ... Our culture encourages continuous learning, teamwork, and a shared sense of purpose, empowering ...

INNIO

Lean Continuous Improvement Co-op

Welland, ON · On-site

Co-op Term Duration: September 2026 - May 2026 (Looking for an 8 month co-op) Essential ... Experience using CNC machines and hand tools safely. Desired Characteristics * Curious constantly ...

Innio

Lean Continuous Improvement Co-op

Welland, ON · On-site

Co-op Term Duration: September 2026 - May 2026 (Looking for an 8 month co-op) Essential ... Experience using CNC machines and hand tools safely. Desired Characteristics * Curious constantly ...

Financeit

Accounting Co-op Student

Toronto, ON · On-site

CA$22/hr

Financeit is looking to add an Accounting Co-op Student to our Finance team! We're looking for a ... Career learning and development programs. Next steps: If what you just read excites you, we'd like ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Ontario

Machine Learning Co Op information

See Ontario salary details

$10

$42

$97

How much do machine learning co op jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for machine learning co op in Ontario is $42.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $63.94 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Ontario?

The most popular types of Machine Learning jobs in Ontario are:

Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,362 per year, or $42.5 per hour.

Computer Vision Engineering Co-op

Magna

Toronto, ON

CA$24.50 - CA$28.50/hr

Full-time

Posted 6 days ago

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

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