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

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will have access to and work under the guidance and mentoring of ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will have access to and work under the guidance and mentoring of ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Stryker

R&D Engineering Co-op

Toronto, ON

CA$44K - CA$59K/yr

This a preferred 8-month co-op term is preferably aimed at applicants in a master's program or in ... Provides opportunity to design in CAD and exposure to fabrication techniques (3D printing ...

Aecon Group Inc.

Procurement Co-op

Whitby, ON

The Procurement Co-op is a highly motivated self-starter who will assist in various areas of the ... 4th year Business, Computer Science or Finance degree program * 2nd or 3rd year Engineering ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

IKO Industries, Inc

HSE Engineering Co-Op

Milton, ON · On-site

CA$23.50 - CA$26.50/hr

We presently have an opportunity for a HSE Engineering Co-Op (8-month or 12-month contract) to join ... Strong computer skills and familiar with Microsoft Office (Excel, Word, PowerPoint, Outlook)

Magna

Intern/Co-op, Quality

Vaughan, ON · On-site

$24.40 - $27.58/hr

Computer literate DESIRABLE ADDITIONAL QUALIFICATIONS (Optional) - Preferred but not required ... Student / Co-Op Group: Magna Exteriors

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All JobsCo Op Computer Vision JobsCo Op Computer Vision Jobs in Toronto, ON

Co Op Computer Vision information

What is the difference between Co Op Computer Vision vs Co Op Data Scientist?

AspectCo Op Computer VisionCo Op Data Scientist
Required CredentialsRelevant coursework, programming skills, basic understanding of computer visionStatistics, programming, data analysis, often a related degree
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageUsed in AI, robotics, image processing projectsApplied in data analysis, predictive modeling, business insights
Search & Comparison IntentUnderstanding roles in computer vision projectsComparing data science internship opportunities

While both roles involve programming and data handling, Co Op Computer Vision focuses on image and video analysis, whereas Co Op Data Scientist covers broader data analysis and modeling tasks. The choice depends on your interest in visual data versus general data insights within tech industries.

What are the most commonly searched types of Computer Vision jobs in Toronto, ON? The most popular types of Computer Vision jobs in Toronto, ON are:
Infographic showing various Co Op Computer Vision job openings in Toronto, ON as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.

Software Design Engineering (Artificial Intelligence) Co-op Student

Alabama Industrial Development Training

Woodbridge, ON • On-site

Other

Vision

Posted 9 days ago

Job description

Martinrea
Martinrea is a diversified global automotive supplier engaged in the design, development and manufacturing of highly engineered, value-added Lightweight Structure and Propulsion Systems.
Job Summary
As a Software Design Engineering Co-op you will be joining the process innovation team focused on building the factory of the future. We are a young and ambitious team developing high-tech cutting-edge products for improving the quality & efficiency of our automated production while improving the lives of our staff/colleagues.
Your role will be part of our Computer Vision team where you will be developing products to improve the quality of the parts we make and modernize common manufacturing processes.
Topics may include: camera hardware interfacing, vision analysis pipelines, machine learning, GPU computing, etc.
The broader team is also responsible for building autonomous vehicles, web apps, and a broad all-encompassing development framework/platform for building, developing, and deploying our solutions. This is a fully in-person role.

Required Skills
Hard Minimum Qualifications

  • Proficient with Python, data structures, and algorithms
  • Experience working with Linux-based operating systems (such as: Debian, Ubuntu)

Expected Qualifications

  • Currently enrolled in and returning to a post-secondary Engineering, Computer Science, Software Engineering, Mechatronics, Robotics, or related program.
  • Strong proficiency in Python, data structures, and algorithms.
  • Experience developing software projects beyond academic coursework.
  • Experience with Linux and Git-based development workflows.
  • Comfortable applying mathematical concepts such as linear algebra in code.
  • Experience with at least one of: Computer Vision, Machine Learning, Robotics, or Embedded Systems.
  • Ability to independently debug and solve complex technical problems. 

Bonus Points

  • Developed computer vision applications using OpenCV.
  • Experience with C++, CUDA, Raspberry Pi, NVIDIA Jetson, or similar technologies.
  • Experience working with cameras, sensors, robots, or industrial hardware.
  • Completed courses such as Computer Vision, Machine Learning, Linear Algebra II, or advanced Algorithms/Data Structures.
  • Participated in robotics teams, engineering design teams, research projects, hackathons, open-source projects, or technical competitions.
  • Demonstrated leadership through technical projects, student organizations, or engineering teams 

Tools and Skills You May Develop

  • Advanced software development in Python and C++.
  • GPU computing and optimization using CUDA.
  • Industrial computer vision system design and deployment.
  • Camera hardware, optics, and image sensor technologies.
  • Machine learning and deep learning for image analysis.
  • OpenCV and custom vision algorithm development.
  • Embedded and edge-computing deployment.
  • Real-world application of mathematics to engineering problems

What Success Looks Like

  • Develop production-quality software used in automotive manufacturing.
  • Design, test, and deploy computer vision systems on production equipment.
  • Troubleshoot complex software, hardware, and vision-system issues.
  • Take ownership of projects from concept through deployment.
  • Collaborate effectively with engineers, technicians, and plant personnel.

MUST BE AVAILABLE FOR 8 MONTH OR 12 MONTH CO-OP. 

Artificial intelligence may be used during the recruitment process to screen, assess, or select applicants

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