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Machine Learning Summer Internship Jobs in Toronto, ON

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

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 ...

Bmo

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships. * Experience with containers and orchestration technologies such as Docker and ...

New

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships. * Experience with containers and orchestration technologies such as Docker and ...

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All JobsMachine Learning Summer JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Toronto, ON

Machine Learning Summer Internship information

What is a machine learning summer internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning summer internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What are the key skills and qualifications needed to thrive as a machine learning summer intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are the most commonly searched types of Machine Learning Summer jobs in Toronto, ON?

The most popular types of Machine Learning Summer jobs in Toronto, ON are:

What are popular job titles related to Machine Learning Summer Internship jobs in Toronto, ON?

For Machine Learning Summer Internship jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Summer Internship jobs in Toronto, ON look for?

The top searched job categories for Machine Learning Summer Internship jobs in Toronto, ON are:

Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

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

Internship List

Oakville, ON

Full-time, Internship

Posted 2 days ago

New

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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