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

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

INTERN

Whitby, ON ยท On-site

OCCUPATIONAL HEALTH AND SAFTEY INTERN Empowering people who build the future. POSITION ... This program is for individuals with high learning agility and willingness to adapt and develop ...

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 ...

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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 Sep 5, 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.

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 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.

Intern Program - Engineering Pathways

ARM

Toronto, ON โ€ข Hybrid

Full-time, Internship

Posted 5 days ago


Job description

Arm technology powers billions of devices, and our goal is to find students who want to help build what comes next! Our intern program would suit candidates with interest across engineering โ€” from the hardware inside the chip to the software and tools that bring it to life.

What you could be doing?

Internships span several areas, with some projects crossing more than one:

Hardware & Chip Design โ€” Work with digital logic, RTL, FPGA, circuits, physical design or semiconductor technology.

Testing & Validation โ€” Test and debug technology through simulation, automation, test environments or lab work.

Systems & Performance โ€” Explore architecture, workloads and system behavior through modeling, simulation and benchmarking.

AI & Machine Learning โ€” Develop or optimize AI/ML solutions and apply technologies such as LLMs and agentic AI.

Software & Tools โ€” Build software, automation and engineering tools using C/C++, Python, Linux, embedded systems or CI/CD.

Technical Enablement โ€” Help developers and partners succeed with Arm through coding, technical problem-solving, research and communication.

Technical Product & Programs โ€” Help shape and deliver technical products and programs through strategy, data, planning, customer insights and cross-functional coordination.

We are looking for individuals who:


Are currently enrolled in a Bachelor's, Master's or PhD program in Electronic Engineering, Computer Engineering, Computer Science, Software Engineering, Data Science, or another relevant technical or quantitative field. Some opportunities may require a specific degree level, area of study or technical background.

We're interested in students who enjoy technology, problem-solving, collaboration and continuous learning. Relevant experience can come from coursework, labs, research, personal projects, hackathons, student organizations, previous internships or other hands-on work.

Qualities that will help your application stand out:


Experience in every area isn't expected. We're interested in examples of:

  • Building, testing, debugging, analyzing, modeling or improving something technical.
  • Applying programming, hardware, AI/ML, data, simulation or other engineering tools.
  • Solving problems, learning new technology and collaborating effectively with others.


As part of the application, we'll ask about interests, experience and technologies used. We'll review those responses alongside the resume to match candidates with available opportunities.

We encourage early applications as we review them on a first come/first served basis.

Arm internships require you to be currently enrolled in a college or university degree program and returning to your studies after completing your internship.

Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship.

In Return:


Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration. #getreadytogrow

#LI-AB1

#A102, #A103, #A105, #E102, #H101, #M101, #P102, #P103, #P104,#S104, #T101, #V1

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

This is a non-exempt hourly role which will be paid at an hourly rate based on the number of hours worked. Pay rates vary by location and educational level.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Internship