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

As a Sponsorship Consulting Intern , you will be an integral contributor and member of our team ... Participation in THETEAM's 'All Pro' learning & development programs, gaining insights into all ...

Automated Planning PhD - AI Expert

Toronto, ON ยท Remote

CA$55 - CA$80/hr

PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research . * Focus on automated planning / symbolic AI . * High attention to detail

Apply Early

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

College Intern

Mississauga, ON ยท On-site

CA$45K - CA$50K/yr

College Intern Description - HP Canada is a multinational technology innovation company with a vision to Lead the Future of Work. In addition to being a market leader in Printing, Personal Systems ...

AWAL Canada Intern

Toronto, ON ยท Hybrid

CA$17.75/hr

At least three (3) days per week in office, 10AM - 5PM, up to 24 hours a week We are looking for an exceptional intern to join the team to support all aspects of our day-to-day business, including ...

Client Relationships Intern

Toronto, ON ยท Hybrid

CA$23 - CA$25/hr

Flexible hybrid work model with monthly intern socials for better work-life balance * Convenient downtown Toronto officelocatedminutes away from Union Station * Interaclearning bootcamp designed to ...

This experiential learning opportunity will provide hands-on exposure to pharmacy operations, patient care activities, and interdisciplinary collaboration under the supervision of licensed ...

This experiential learning opportunity will provide hands-on exposure to pharmacy operations, patient care activities, and interdisciplinary collaboration under the supervision of licensed ...

Intern

Toronto, ON ยท On-site

TransPerfect Is More Than Just a Job... Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual ...

As a Learning Experience Specialist, you are responsible for developing and producing high-quality learning assets that enable our customers and partners to successfully adopt and use their Achievers ...

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Machine Learning Intern information

See Toronto, ON salary details

$9

$44

$84

How much do machine learning intern jobs pay per hour?

As of Jul 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 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.

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 are popular job titles related to Machine Learning Intern jobs in Toronto, ON? For Machine Learning Intern jobs in Toronto, ON, the most frequently searched job titles are:
What cities near Toronto, ON are hiring for Machine Learning Intern jobs? Cities near Toronto, ON with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Toronto, ON as of June 2026, with employment types broken down into 2% As Needed, 45% Full Time, 51% Part Time, and 2% Nights. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $93,557 per year, or $45 per hour.

Intern, Sponsorship Consulting

Teamwass

Toronto, ON โ€ข Hybrid

CA$17.60/hr

Full-time

Posted 20 days ago


Job description

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Headquartered in Los Angeles, THETEAM's presence spans 28 countries and more than 70 cities, including New York, London, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney. For more information, please visitTHE.TEAM.

Our brands and properties division works with iconic brands and rights holders, supporting business growth through all marketing disciplines. We're a trusted partner to every major league, team and venue, building meaningful connections between brands, properties and fans.

In Canada, we've proudly been recognized as the Sponsorship Marketing Council of Canada's 'Agency of the Year' for 5 of the past 6 years.

As THETEAM supports hybrid working environments and also acknowledges the benefits of in-office collaboration, our global policy is 3-days per week in-office.

Job Summary

As THETEAM supports hybrid working environments, the successful candidate will be expected to be in the office a minimum of 3 days per week, in addition to remote working.

Fixed Term: September 8th - December 18th, 2026

Job Overview
To support our rapid growth, THETEAM has built a robust internship program designed to introduce driven, hard-working students and young professionals to the sports and entertainment industry, and our company.

As a Sponsorship Consulting Intern, you will be an integral contributor and member of our team, honing in on the business priorities of some of the biggest brands and properties in Canada and beyond. Successful candidates will deliver against the day-to-day responsibilities, driving the needs of our clients and their goals.

As THETEAM supports hybrid working environments, the successful candidate will be expected to be in the office a minimum of 3 days per week, in addition to remote working.

What You'll Do

  • Support the team in the day-to-day management of multiple client projects
  • Assist with evaluations of new marketing opportunities, development of sponsorship strategies, and measurement of existing and potential brand partnerships
  • Contribute to research and data analysis efforts to inform client strategy
  • Deliver against administrative tasks including recording and distributing meeting notes, budget management, open new projects, generate and deliver invoices, etc.
  • Assist in creating and delivering compelling client and internal presentations
  • Conduct research on potential clients to help support new business efforts
  • Engage with clients to deliver on project work and build relationships

What We're Looking For

  • Curious mindset who isn't afraid to jump into ambiguous or abstract business problems or adapt to shifting priorities
  • Strong analytical skills with the ability to dive deep into research and deliver relevant findings and insights
  • Excellent communication skills both written and verbal. Able to communicate with maturity and effectiveness at all levels of an organization
  • Working knowledge of project management fundamentals, with laser-sharp attention to detail, time management and exceptional organizational skills
  • A self-starter attitude with the ability to work autonomously and collaboratively as a team, while juggling multiple tasks and deliverables
  • Proficient with Microsoft Office applications, specifically PowerPoint and Excel

MINIMUM EXPERIENCE NECESSARY:

  • Direct experience or working knowledge of marketing or business
  • Interest and passion for sports, entertainment and/or culture
  • Educational background is nice to have but not mandatory - Bachelor's degree, diploma or certificate in marketing and/or business

What We Offer

  • Access and networking opportunities with our global internship program
  • Participation in THETEAM's 'All Pro' learning & development programs, gaining insights into all THETEAM services and products
  • Access and exposure to the top sports, arts, culture, music, and entertainment clients around the world
  • Participation in THETEAM's CMHA mental health programming
  • Opportunity to work in a hybrid environment
  • Real-time industry experience, working alongside some of North America's top talent, including both clients and THETEAM employees
  • $17.60/hour wage

If you are a driven, forward thinker who wants to be part of a high-performance agency that puts people first, then we'd love to hear from you!

Deadline to apply: Sunday, July 5th, 2026 at 11:59 PM EST

This is a full-time, paid position. Applicant must be either a Canadian Citizen, Permanent Resident of Canada, or have the ability to work in Canada.

THETEAM does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.