ZipRecruiter

Log In

1

Grad Intern Jobs in Toronto, ON (NOW HIRING)

Bits In Glass

Intern

Toronto, ON · On-site +1

Intern Practice: AI Location: Remote/Hybrid Description As a ML Developer Intern you will work ... A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related * Prior ...

Publicis Groupe Holdings B.V

Intern

Toronto, ON · Hybrid

CA$40K - CA$45K/yr

Recent or soon-to-be grad in PR, Communications, Marketing, or related field. * Strong communicator, organized, detail-oriented, and a team player. * Curious, eager to learn, and quick to pick up new ...

Starcom Mediavest Group Germany Gmbh

Intern

Toronto, ON · Hybrid

CA$40K - CA$45K/yr

Recent or soon-to-be grad in PR, Communications, Marketing, or related field. * Strong communicator, organized, detail-oriented, and a team player. * Curious, eager to learn, and quick to pick up new ...

next page

Showing results 1-20

All JobsGrad Intern JobsGrad Intern Jobs in Toronto, ON

Grad Intern information

What is a grad intern?

A Grad Intern, short for Graduate Intern, is a student who has completed their undergraduate degree and is currently pursuing or has recently completed a graduate-level program, such as a master's or doctoral degree. Grad Interns participate in internships to gain hands-on experience in their field of study, often working on projects or research related to their career interests. These internships help them apply academic knowledge in a practical setting, build professional networks, and enhance their resumes for future employment opportunities.

What do grad interns do?

As a Grad Intern, you can expect to work on meaningful, real-world projects that align with your academic background and the organization's needs. Responsibilities often include supporting ongoing team initiatives, conducting research, analyzing data, and presenting findings. You’ll likely collaborate closely with full-time employees and other interns, gaining exposure to cross-functional teamwork and professional workflows. This hands-on experience is designed to help you develop practical skills, expand your professional network, and prepare for future full-time roles.

What skills and qualifications are needed to thrive as a grad intern?

To thrive as a Grad Intern, you generally need relevant academic coursework, strong analytical abilities, and a willingness to learn, often supported by enrollment in a graduate degree program. Familiarity with industry-specific software, data analysis tools, or project management systems is commonly required, depending on the field. Effective communication, adaptability, and a proactive attitude help interns stand out and build professional relationships. These skills and qualities are essential for maximizing learning opportunities, contributing to team projects, and laying the groundwork for a successful career.

What is the difference between Grad Intern vs Research Intern?

AspectGrad InternResearch Intern
Required CredentialsTypically enrolled in a graduate program or recent graduateUsually pursuing or holding a degree in a related research field
Work EnvironmentCorporate, industry, or organizational settingsAcademic, laboratory, or research-focused environments
Employer & Industry UsageCommon in corporate and industry sectors for professional developmentCommon in universities, research institutes, and labs
Search & Comparison IntentInterested in industry-focused internship opportunitiesLooking for research-focused internship roles

While both roles involve gaining practical experience, a Grad Intern typically works within a corporate or industry setting, focusing on applied projects, whereas a Research Intern is more research-oriented, often in academic or laboratory environments. The choice depends on your career goals—industry experience or research specialization.

Grad Intern jobs near you
Infographic showing various Grad Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 14% Internship, 1% As Needed, 59% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Intern

Toronto, ON • On-site, Remote

Bits In Glass
See more jobs at Bits In Glassexternal

Internship

Posted 4 days ago

Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

Apply