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

Backcountry Recreation

Intern

Toronto, ON

We are seeking a highly motivated and enthusiastic individual to join our team as an Intern. The successful candidate will have the opportunity to gain valuable experience and develop their skills in ...

DREAM

Intern, Development Administration

Toronto, ON · On-site

CA$21 - CA$25/hr

Dream is looking for an Intern, Development Administration (4 month)! Dream Unlimited is always ... learning and innovation thrive. Join us and make a difference. Due to the high volume of ...

Hitachi

ITV - Intern (Fall 2026, 12-16 Month)

Toronto, ON · Hybrid

CA$23 - CA$30/hr

ITV Specialist Intern Rail Pass Type: Internship/Co-op (Full-time/Hybrid) Departure and Arrival Date (Start -End): September 2026 - August 2027 (12months, will also consider 16 months) Vacancy: 1 ...

RailWorks

Intern

Mississauga, ON · On-site

CA$22 - CA$24/hr

The Project Coordinator Intern must be able to follow up on the work in progress with the clients. He/she must also assist the project manager during planning and help supervisors implement it and ...

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

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 ...

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

Machine Learning Intern information

See Mississauga, ON salary details

$9

$44

$83

How much do machine learning intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for machine learning intern in Mississauga, ON is $44.40, according to ZipRecruiter salary data. Most workers in this role earn between $36.23 and $49.59 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 Mississauga, ON? The most popular types of Machine Learning jobs in Mississauga, ON are:
What are popular job titles related to Machine Learning Intern jobs in Mississauga, ON? For Machine Learning Intern jobs in Mississauga, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Mississauga, ON look for? The top searched job categories for Machine Learning Intern jobs in Mississauga, ON are:
What cities near Mississauga, ON are hiring for Machine Learning Intern jobs? Cities near Mississauga, ON with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Mississauga, ON as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 41% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $92,345 per year, or $44.4 per hour.

AI Software Engineering, Fall 2026 - Toronto (Co-op/Internship) - 4 Months

Quadreal

Toronto, ON • On-site

CA$28/hr

Full-time

Posted 10 days ago

Job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity toparticipatein a variety of experiences including our Speaker Series, Fireside Chats, Volunteeropportunitiesand Networking events.

EligibilityNote: Toqualify for a student(Co-op/Internship) opportunity, students must be enrolled intheir academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal. If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities.

Based in Toronto, the Co-op/Intern, AI Software Engineering, will report to the Director, Data & Machine Learning Products, and join QuadReal's AI & Digital Innovation team. QuadReal is a real estate company actively adopting AI in its day-to-day operations,buildingand deploying high-leverage AI products for the business. The successful candidate will write code, ship features, and learn how AI products are designed, deployed, and governed inside an enterprise, contributing directly to live products and owning a discrete prototype end-to-end.

What We Offer:

  • An organization and leaders that support your development through meaningful work experience

  • A Student Mentorship Program designed toprovide AIsupport throughout your experience

  • Opportunities to build your industry knowledge throughweeklySpeaker Series & Fireside Chats

  • Opportunities toparticipatein case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving.

  • Giving back to the community with your peers and team members through volunteering events

  • Opportunities to build long-lasting industry and professional relationships

What You Will Experience:

Build alongside the engineering team (60%)

  • Pair on features for the team's AI product portfolio

  • Pick up tickets from the active sprint, write code, get it reviewed, ship it

  • Write tests, fix bugs, refactor where needed

  • Use modern AI coding assistants daily as part of your normal workflow

Own a prototype (25%)

  • Take one scoped business problem and build a working prototype across the term

  • Scope, design, build, demo, and document; engineering reviews architecture, the Director approves scope

  • Ship it to a small pilot group if it works

Engineering hygiene and team rituals (15%)

  • Attend standups, sprint reviews, and code reviews

  • Document what you build; keep runbooks and READMEs current

  • Participate in the team's review process for anything that touches production

What You Will Bring:

  • Currently enrolled in or recently graduated from a CS, Software Engineering, or related program

  • Comfortable in at least one modern language (Python, TypeScript, or C#)

  • Comfortable with Git, basic command line, and reading other people's code

  • Demonstrated experience using AI coding tools on real projects,schoolor personal

  • Brings curiosity, integrity, and a collaborative mindset to every problem and takes ownership of their work from start to finish

  • Cloud experience, ideally Microsoft Azure, is a plus

  • Front-end experience (React, Next.js) or a full-stack project on a resume is an asset

  • Exposure to LLM application patterns (retrieval, tool use, agents) is preferred

  • A public GitHub or portfolio with at least one shipped project is a plus

  • Real estate, financial services, or enterprise IT exposure is an asset

This job posting is for a newly created role within our organization.

The expected hourly rate for this role is $28.

#LI-DNP

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual's skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.

We value diverse experiences and perspectives. Even if your skills don't align 100% with the listed qualifications or salary range, we encourage you to apply - you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.

We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.

Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.

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