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

University of Guelph

Co-Op Coordinator

Guelph, ON

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 ...

Acceldata

Software Engineering Co-op

Kitchener, ON

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-Op Work History, if applicable * Resume * Grade Report Compensation and Benefits Information

Acceldata

Field Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-op Work History * Resume * Grade Report Compensation and Benefits Information * Apple Mac ...

Acceldata

Sales Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Commit to continuous learning and professional development, adapting to new tools, languages, and ... Co-op Work History * Resume * Grade Report Compensation and Benefits Information * Apple Mac ...

University of Waterloo

Program Manager

Waterloo, ON

... learning outcomes assessment tools and techniques. Develops a feedback loop to facilitate the ongoing refinement of program engagement offerings * Hires and manages co-op students * Updates ...

Perseus Group

Director, Support

Waterloo, ON · On-site +1

CA$85K - CA$104K/yr

... co-op roles). * Hands-on experience gained through school projects, labs, or personal learning using any database technology (SQL or non-SQL). * Familiar with or highly motivated to learn to apply AI ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Waterloo, ON

Machine Learning Co Op information

See Waterloo, ON salary details

$9

$39

$90

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

As of Jun 16, 2026, the average hourly pay for machine learning co op in Waterloo, ON is $39.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $59.62 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 types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

Which 3 jobs will survive AI?

Machine Learning Co-ops are likely to find that roles requiring complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethics specialists, and human-centered design professionals—will persist alongside AI advancements. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and critical thinking.

Which 5 jobs will survive AI?

Machine Learning Co-ops are likely to continue working in roles that require complex problem-solving, creativity, and human judgment, such as data analysis, AI system development, and research. Jobs that involve interpersonal skills, strategic decision-making, and tasks requiring emotional intelligence are also less susceptible to automation. Skills in critical thinking, domain expertise, and adaptability will help professionals remain relevant as AI advances.

Is ML a high paying job?

Machine Learning Co-ops are typically paid internships that offer competitive hourly wages or stipends, which can vary based on location, education level, and company size. Entry-level roles in machine learning often have higher starting salaries compared to many other tech internships, and full-time positions in the field tend to have above-average salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow or PyTorch.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.
What are the most commonly searched types of Machine Learning jobs in Waterloo, ON? The most popular types of Machine Learning jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Machine Learning Co Op jobs? Cities near Waterloo, ON with the most Machine Learning Co Op job openings:
Machine Learning Co Op jobs near you

Co-Op Coordinator

University of Guelph

Guelph, ON

Other

Posted 7 days ago

Job description

Department: Experiential Learning
This position is represented by the agreement between the Professional Staff Association and the University of Guelph

If you are a current employee of the University of Guelph you must apply on the internal Career Page in order to be considered as an internal applicant. 
Career Opportunities (sapsf.com) 

General Purpose

At the University of Guelph, our students benefit greatly from engaging directly in industries and communities where they can apply their learning in real-world contexts, develop essential employability skills, and gain a deeper understanding of the complex issues faced by employers and community organizations today.

The Experiential Learning Hub collaborates with industry and community partners to provide experiential learning opportunities that enable students to apply and advance their learning in a real-world context. The Co-operative Education program formally integrates a student's academic studies with periods of work experience. Over 7,000 co-op students participate in over 70 co-op majors at the University of Guelph. Co-op Coordinators assume complete marketing responsibility and student advisement for co-op program(s) as assigned and actively recruit and engage employers to hire 700 - 2,000 co-op students each fall, winter, and summer semester. These activities raise the profile of the University of Guelph and guide student success in the Co-operative Education program.

Duties and Responsibilities

Reporting to the Manager, Co-operative Education (Commerce & Arts portfolio), the Co-op Coordinator is responsible for supporting:

  • Developing new and maintaining existing employer relationships to support and expand engagement with co-operative education and the University of Guelph;
  • Marketing and promoting co-op and the University of Guelph throughout all sectors of the economy, associations, and tradeshows;
  • Maintaining in-depth labour market insight, analyzing shifts in technology and economics;
  • Providing advisement and guidance to co-op students in assigned programs on job search strategies, employability skills (professional and transferable) and career development while the student is seeking employment and while on a work term;
  • Preparing co-op students for their first work term. Responsible for developing and delivering recruitment preparation workshops and events each semester;
  • Conducting co-op work term visits to monitor student learning and work performance; and ensuring that sufficient job quantity, diversity and experience levels are available for co-op students;
  • Advising on issues related to employment barriers and issues of workplace accommodation, needs of a diverse client population (e.g., Indigenous, racialized, and LGBTQ2IA+ students and students with disabilities, etc.).

Requirements

  • An undergraduate degree in a related field.  This position will support the Arts and Commerce programs co-op portfolio;
  • Minimum of two (2) years' relevant experience in employer development, relationship management, marketing, cooperative education, experiential education, or career advising/coaching;
  • Applicants should demonstrate excellent communication, marketing and account management, sales, and public relations skills;
  • Demonstrated commitment to equity, diversity, and inclusion principles and have experience supporting diverse communities, including Indigenous people, women, newcomers, visible minorities, persons with disabilities, and persons of any sexual orientation or gender identity;
  • Excellent time management skills, with the ability to prioritize and triage obligations;
  • Ability to adhere to existing operational processes within a team;
  • Must also demonstrate strong knowledge of relevant job markets for co-op programs, and the ability to work well with a diverse group of clients/stakeholders (i.e. employers, students, faculty);
  • Knowledge of co-operative education, career counselling, human resource practices, labour market analysis, employment law is an asset;
  • Knowledge of the University academic programs and procedures is an asset.

Employee Type: Regular 
Position Number: 10114012 
Classification: P&M FT- Band 05    
Professional/Managerial Salary Bands 
The target hiring salary for this position is minimum and up to 96% of midpoint for the salary grade.

*Tentative evaluation; subject to committee review. 

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Posting Date:  06/08/2026  
Closing Date:  06/15/2026 

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