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Machine Learning Co Op Jobs in Toronto, ON (NOW HIRING)

JOB SUMMARY The Finance Co-op will support the commercial and finance teams with day-to-day ... Proficiency in Microsoft Excel and an aptitude for learning new financial software or ERP systems.

JOB SUMMARY The Finance Co-op will support the commercial and finance teams with day-to-day ... Proficiency in Microsoft Excel and an aptitude for learning new financial software or ERP systems.

Actuarial Co-op/Intern

Toronto, ON ยท Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will be encouraged to engage in continual learning and development activities with the goal to advance to higher level positions. The Role: The Actuarial Co-op/Intern is ...

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 ...

Actuarial Co-op/Intern

Toronto, ON ยท Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will be encouraged to engage in continual learning and development activities with the goal to advance to higher level positions. The Role: The Actuarial Co-op/Intern is ...

In this full-time co-op role, you will support the Marketing team with digital marketing, content ... Comfort learning and working with new systems (training will be provided) * Excellent knowledge of ...

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

This a preferred 8-month co-op term is preferably aimed at applicants in a master's program or in ... machining, etc). Provides opportunity to learn ASTM standards for drawings as well as other ...

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Machine Learning Co Op information

See Toronto, ON salary details

$9

$40

$92

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

As of Aug 9, 2026, the average hourly pay for machine learning co op in Toronto, ON is $40.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.98 and $61.02 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 Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning Co Op jobs? Cities near Toronto, ON with the most Machine Learning Co Op job openings:
Infographic showing various Machine Learning Co Op job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $84,327 per year, or $40.5 per hour.

Software Design Engineering (Artificial Intelligence) Co-op Student

Alabama Industrial Development Training

Woodbridge, ON โ€ข On-site

Other

Vision

Posted 11 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.ย 

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 teamsย 

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.ย 

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