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Machine Learning Intern Jobs in Waterloo, ON (NOW HIRING)

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Machine Learning Intern information

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are popular job titles related to Machine Learning Intern jobs in Waterloo, ON? For Machine Learning Intern jobs in Waterloo, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Waterloo, ON look for? The top searched job categories for Machine Learning Intern jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Machine Learning Intern jobs? Cities near Waterloo, ON with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Waterloo, ON as of May 2026, with employment types broken down into 3% Internship, 83% Full Time, and 14% Part Time. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.

AF224-C Advanced Foundations for Learning (Winter 2027)

Wilfrid Laurier University

Waterloo, ON

CA$10K/mo

Other

Posted 11 days ago

Job description

Faculty/Academic Area: Faculty of Arts 

Department: Office of the Dean of Arts 

Campus: Waterloo 

Employee Group: WLUFA 

Requisition ID: 11283 

Position Title: AF224-C Advanced Foundations for Learning (Winter 2027) 

Term: Winter 2027 

Days/Times: Monday Wednesday 11:30 a.m. - 12:50 p.m. 

Hours per week/Hours Total: 3/26 

Mode of Delivery: In-Person 

Type of Instruction: Lecture  

Anticipated Class Size: 25 

Additional Course Requirements:  

Posted on: June 1, 2026 

Posting ends: June 15, 202 

AI tools will be used in the hiring process: No 

Position Summary:  

AF224 is the second part of the Strategies for Academic Success Program for students required to withdraw on academic grounds and seeking readmission. This course is designed to support continued development of core competencies with an emphasis on supporting student growth in effective critical reading skills. The course must incorporate engaged pedagogies appropriate to the active learning classroom and include assignments that allow for the incremental development of academic skills. By the end of this course students should have an increased ability to critically engage with any text and relate information that they read to other readings, ideas, and themes in other courses. A draft syllabus has been created for this course, to ensure consistency with the themes established in SASP-001, the first mandatory course in the program. 

One of the most important skills for you to master as a university student is reading. Reading takes on a central role in your approach to learning, requiring an active level of engagement with the text, which will ensure comprehension, and guide your approach to reading. By the end of this course you will have an increased ability to critically engage with any text and relate information that you read to other readings, ideas, and themes in other courses. This will ensure you will become a more critical thinker who engages with course content and subsequently becomes a better writer, since reading is the foundation for both of these skills. 

Qualifications - Required: Master's Degree 

Qualifications - Discipline: Humanities, Social Sciences or Education 

Qualifications - Other: Preference will be given to those applicants who submit a teaching dossier with evidence of training and/or teaching experience in core academic competencies (reading, writing, research, oral presentation). 

Salary: $10,212.40 

Application Deadline: June 15, 2026 

Submit with Application:  

Required for All Applicants 

  • CV (required) 

  • Candidate Application Form (CAF) 

Required for External Applicants 

  • Names and Contact Information for Referees  

  • Evidence of Good Teaching 

  • Verification of highest degree 

Optional 

  • Cover Letter 

  • Teaching Dossier 

  • Sample Course Outline 

Note: A Cover Letter is not expected (unless noted as required) as the CAF will include information that is typically included in a Cover Letter.  

Applications may be addressed to: 

To Apply:  
 

Please click the gold "Apply Now" button located on the top right hand side of the page.  

You will be asked to sign in if you have already created an account. If you are not a registered user you may create an account to apply to career opportunities. Once an account is created you will be able to sign in to apply for the position. 

This appointment is in accordance with the Contract Teaching Faculty and Part-time Librarians Collective Agreement, for which the Wilfrid Laurier Faculty Association (WLUFA) is the exclusive bargaining agent. All applicants are assessed using both the "Appendix H: Assessment of CTF Candidates under 13.6.1" in the collective agreement and the program specific rubric.  Candidates should review these documents and ensure the information required is easily accessible in the application. 

Please Note:

Assessment of your application will be based primarily on the Candidate Application Form (CAF). The Part-time Appointment Committee is only required to review the CAF, Curriculum Vitae, and any specifically referenced pages in a supplemental document(s) to ensure fair assessment of each candidate.

Candidate Application form (CAF) is used to apply to an individual posting and must be submitted with each application. The completed form is to be uploaded with all other application materials by the deadline listed in the course posting. Refer to Appendix I of the Contract Teaching Faculty Collective Agreement for further guidance about completing the CAF and Appendix H for details on how this form will be scored.

For Supplementary Remuneration for marking and grading allowance, see Article 28.2, and coordination of large classes or multi-section courses, see Article 28.3

Pursuant to Article 13.5 of the Collective Agreement for Contract Teaching Faculty (CTF) and Part-time Librarians, all applicants shall apply electronically. Applications must be received by 23:59 local time of the date on the posting.

Wilfrid Laurier University endeavors to fill positions with qualified candidates who have a combination of education, experience, skills, and abilities to successfully perform the duties of the position while demonstrating Laurier's Employee Success Factors.

Diversity and creating a culture of inclusion is a key pillar of Wilfrid Laurier University's Strategic Academic Plan and is one of Laurier's core values. Laurier is committed to increasing the diversity of faculty and staff and welcomes applications from qualified members of the equity-deserving groups. Indigenous candidates who would like to learn more about equity and inclusive programming at Laurier are welcome to contact the Office of Indigenous Initiatives at indigenous@wlu.ca. Candidates from other equity-deserving groups who would like to learn more about equity and inclusive programming at Laurier are welcome to contract Equity and Accessibility at equity@wlu.ca. We have strived to make our application process accessible, however if you require any assistance applying for a position or would like this job posted in an alternative format, please contact Faculty Relations at FacultyRelations@wlu.ca.

All qualified candidates are encouraged to apply; however, as per Canadian immigration laws, Canadians and permanent residents will be given priority. Members of the equity-deserving groups must self-identify to the appropriate Dean(s) to be considered for employment equity.

All course offerings will be contingent on adequate student registration and subject to budgetary funding.

Members of the Contract Teaching Faculty bargaining unit:

Should you be interested in learning more about this opportunity, please visit www.wlu.ca/careers for additional information and the online application system. All applications must be submitted online.

All applications shall be reviewed and considered under a set of criteria established by the part-time hiring committee. Only those applicants recommended for a position will be contacted.

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