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

Manulife

Summer Intern 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

Build and evaluate machine learning models using a range of techniques, with thoughtful experiment design and documentation * Support feature engineering, model development, and performance ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON · On-site

CA$60/hr

Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog. Qualifications:

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Toronto, ON

Machine Learning Intern information

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$9

$44

$84

How much do machine learning intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine learning intern in Toronto, ON is $44.98, according to ZipRecruiter salary data. Most workers in this role earn between $36.71 and $50.24 per hour, depending on experience, location, and employer.

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 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.

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 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 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,557 per year, or $45 per hour.

Sales Systems & Data Governance Intern (Winter/January 2027, 8-12 Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 4 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Sales Systems & Data Governance intern who will work on data cleansing, data governance and updating records in Salesforce. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Sales Systems & Data Governance Intern, your key area of responsibility will be to synchronize and update data from Geotab's internal systems to Salesforce records, assisting with data cleansing and data governance activities. You will need to work closely with Geotab's Revenue Operations teams. 

To be successful in this role you will have a strong work ethic, an eagerness to jump in and help fix things, strong communication skills and a positive attitude. In addition, the successful candidate will have strong proficiency in Google Workspace, experience using CRM systems, and strong analytical skills with the ability to identify patterns and discrepancies. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity:
  • 8 - 12 month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Data cleansing and Salesforce system updates to support data integrity and revenue operations
  • Build intelligent dashboards and reports in Salesforce to drive sales insights and forecasting
  • Audit and standardize existing sales processes, workflows, and system configurations
  • Identify areas for process improvement and collaborate with developers and stakeholders to implement solutions
  • Maintain up-to-date documentation for processes, training materials, and system configurations
  • Leverage AI tooling - or demonstrate a strong willingness to learn - to automate tasks, surface insights, and increase team productivity
What you'll bring to the role:
  • Completing a Bachelor's degree in Business Administration or related field.
  • Organized, detail-oriented, and able to effectively multi-task.
  • Ability to work collaboratively in a team environment.
  • Excellent writing and communication skills.
  • Familiar with G Suite / MS Office Suite: Docs/MS Word: Formatting and Styles, Sheets/MS Excel: Formatting tables.
  • Demonstrates good judgment, effective problem solving and can prioritize tasks appropriately.
  • Strong analytical and project management skills.
  • Self-motivated to complete work.
  • Strong time management skills and ability to work with strict deadlines.
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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