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Machine Learning Intern Jobs in Ontario (NOW HIRING)

This program is for individuals with high learning agility and willingness to adapt and develop ... This job is in part responsible for preparing drawings and sketches for modifications of machinery ...

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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Machine Learning Intern information

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$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Jun 9, 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.

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 cities in Ontario are hiring for Machine Learning Intern jobs? Cities in Ontario with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Ontario as of May 2026, with employment types broken down into 3% Internship, 34% Full Time, and 63% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $98,034 per year, or $47.1 per hour.
ENGINEERING INTERN

ENGINEERING INTERN

Gerdau

Whitby, ON • On-site

Other

Posted 19 days ago


Gerdau rating

7.7

Company rating: 7.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

186th of 516 rated manufacturers


Job description

At Gerdau, we empower our people to grow, thrive, and make a difference-together. With a culture built on trust and teamwork, we offer meaningful work, continuous development, and opportunities to shape your future. We invite you to come work with us, where your contributions are valued, your voice is heard, and your career is forged with purpose

Gerdau is currently seeking a student for an Engineering Internship at our Whitby Metals Recycling location. 

The student must be currently enrolled and have completed at least two years of a university degree from a recognized accredited college or university in an Engineering related Discipline. Preferred education program BEng, Mechanical Engineering.  Internship beginning as soon as possible, extending 12 to 16 months.

At Gerdau our employees are the best in the business. We have high standards, and our employees constantly strive to reach even higher levels of success. Gerdau's growth is based on our values and on a vision focused on excellence. Gerdau proudly offers internship programs, through which students can jump start their career with hands-on experience with one of the largest steel producers in the world. Working at Gerdau is an opportunity to be part of a team that is a benchmark in the industry in which it operates.  An Intern with Gerdau must have an eagerness to grow personally and professionally, being a part of a global company with more than 110 years of entrepreneurship and achievements in the steel industry. This program is for individuals with high learning agility and willingness to adapt and develop continuously, who aim at consistently outperforming in a variety of settings and circumstances. During the program you will interact with team members from around the world. You will have the opportunity to learn on the job and work on challenging projects that will further your development.

Duties and Responsibilities:

 The Engineering Intern Student will provide technical coordination and support in the operating and capital expense management processes for the department alongside the Engineering Department.  This position reports directly to the senior member of the engineering team for assignments.  The incumbent will take part in project evaluation, technical studies, oversight, and contribution to assigned responsibilities and entering project information in EPM and MS project software.

  • Develop and refine engineering procedures.
  • Process sample and data collection and interpretation.
  • Implement new technology.
  • Train and develop technical operations.
  • Conduct Technical Studies to support CAPEX investments.
  • Implement Best Practices.
  • Support process improvement projects where applicable.
  • Participate in the development of Annual Actions Plans.
  • Participate in Technical Committee benchmark.
  • Coordinate the implementation of approved projects on specified locations throughout Canada and US.
  • Interact with internal customers and external vendors to implement the project.
  • Conduct Technical Studies to support CAPEX investments.
  • Interact with internal customers and external vendors to implement the project.

The student will also assist and take part in the preparation and completion of blueprints using ACAD for additions, installations, and maintenance/repair purposes.  This job is in part responsible for preparing drawings and sketches for modifications of machinery and equipment, and layouts on various systems.  The incumbent will assist in checking and verifying specifications and drawings for accuracy on large projects that require design drawings needed in constructing the facility.

The Individual:

  • Student must have a high GPA 3.0 and above combined with practical knowledge and skills that will allow room for leadership potential, excellent communication skills and team work capabilities. 
  • Student must be currently enrolled and has completed at least two years of a university degree from a recognized accredited college or university in an Engineering related Discipline.  
  • Internship will be 12 to 16 months.
  • Must be legally authorized to work full-time in the country of hire without requiring current or future sponsorship for employment  
  • Student must have a valid Canadian passport and be willing to travel (if required)
  • The incumbent must possess good communication and problem solving skills have the ability to articulate ideas, detail oriented, and be comfortable dealing with associates at all levels within the organization.
  • AutoCAD and various other Engineering software knowledge is necessary.
  • Previous Project Management experience is a strong asset, as the main job function is project driven.

Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.  

If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com


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