ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Ontario (NOW HIRING)

Interac Corp.

Innovation Intern

Toronto, ON · Hybrid

CA$23 - CA$25/hr

Supporting the Innovation Practice squad, thereis an opportunity for an intern toparticipatein the development and delivery of a series of Innovation Practice offeringroll-outsthat are focused on ...

Interac Corp.

Vendor Management Intern

Toronto, ON · Hybrid

CA$23 - CA$25/hr

Intern experience in the payments, fintech, or financial institution industry * Prior experience with SharePoint, Copilot, and CRM Software (Salesforce) WhatWe'reOffering: The hourly pay range for ...

Teamwass

Intern, Experience

Toronto, ON · Hybrid

CA$17.60/hr

As an Experience Intern , you will support the ideation, development, and execution of experience ... Participation in THETEAM's 'All Pro' learning & development programs, gaining insights into all ...

Interac Corp.

Client Experience Intern

Toronto, ON · Hybrid

CA$23 - CA$25/hr

Comfortable with learning and working effectively either independently or with groups ... Flexible hybrid work model with monthly intern socials for better work-life balance * Convenient ...

Teamwass

Intern, Sponsorship Consulting

Toronto, ON · Hybrid

CA$17.60/hr

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 ...

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · 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

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, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

Hp

College Intern

Mississauga, ON · 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 ...

next page

Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Ontario

Machine Learning Intern information

See Ontario salary details

$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for machine learning intern in Ontario is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $52.64 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Ontario? The most popular types of Machine Learning jobs in Ontario are:
What are popular job titles related to Machine Learning Intern jobs in Ontario? For Machine Learning Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Ontario look for? The top searched job categories for Machine Learning Intern jobs in Ontario are:
What cities in Ontario are hiring for Machine Learning Intern jobs? Cities in Ontario with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Ontario as of June 2026, with employment types broken down into 2% As Needed, 55% Full Time, 41% Part Time, and 2% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $98,034 per year, or $47.1 per hour.

Employee Experience & Talent Development Intern

Mlse

Toronto, ON

CA$38K/yr

Full-time

Posted 10 days ago

Job description

Powered by Passion. United by Purpose. Build for Impact.

At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities - united as one.

We're more than a workplace. We are a team of passionate people, boldly building the future of sport and entertainment, together. We believe in the power of play, the strength of collaboration, and the energy that comes from showing up with purpose.

From the ice to the pitch, the hardwood to the digital arena, we're proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

We bring these teams - and world-class entertainment - to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club.

Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we've invested more than $45 million into Ontario communities -- and we're just getting started.

This is what it means to be One MLSE: a culture where everyone plays a role, everyone belongs, and everyone contributes to something bigger than themselves.

So, if you're ready to play with purpose, grow with passion, and win as one, we'd love to have you on our team.

** We know that great candidates come from a variety of backgrounds and experiences. Even if you do not meet every qualification listed, we encourage you to apply. Your unique perspective, transferable skills, and lived experience may be exactly what we're looking for. **

Job Description

As a valued member of MLSE's People & Inclusion (P&I) team, the Employee Experience & Talent Development Intern will collaborate to shaping a culture where employees feel recognized, supported, and empowered to grow. This internship offers hands-on experience in strategic talent management, learning, and recognition programs that elevate the employee experience across the organization.

MLSE's Internship term dates are from September 8, 2026 - December 18, 2026

  • Support employee experience and talent initiatives by providing administrative and project coordination across recognition, learning, and development programs

  • Create and curate content for talent development and learning programs, including tools, resources, and communications; track participation, gather feedback, and report on effectiveness

  • Manage learning administration, including tracking learner progress, maintaining records, and generating reports to support program evaluation

  • Coordinate and activate recognition programs and employee experience events, ensuring timely executive and alignment with MLSE's culture

  • Conduct research and benchmarking in employee experience, performance and talent enablement to inform on future initiatives

  • Ensure compliance with MLSE service standards, policies, and the Occupational Health & Safety Act

Qualifications:

  • Currently enrolled in a post-secondary program in Human Resources, Organizational Behaviour, Learning & Development or Related Field.

  • Proficient in Microsoft Office (Word, PowerPoint, Excel, SharePoint); able to analyze data and provide insights to inform recommendations and decisions

  • Strong communication skills (verbal, written and visual) with the ability to collaborate across teams and levels

  • Highly organized and able to manage multiple projects with competing deadlines

  • Demonstrated creatively and thoughtfulness in supporting culture-building initiatives

  • Proven accountability for delivering accurate and timely work

  • High level of integrity when handling confidential information

  • Growth mindset and curiosity to learn more about HR and employee experience

  • Familiarity with Canva and Articulate is an asset

Job Posting Compensation Range/Rate:

$38,760

We're glad you're here. Once you apply, we'll follow up by email, and you can track everything in your Candidate Portal. Want instant updates? Opt-in for SMS notificationsto stay in the loop.

At MLSE, we are committed to building an equitable, diverse and inclusive organization. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email accommodations@mlse.com. This email is only for accommodation requests. Resumes sent to this email address will not be considered.

Apply