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Artificial Intelligence Machine Learning Internship Jobs in Toronto, ON

Magna

Artificial Intelligence Student

Concord, ON · On-site

CA$20 - CA$22/hr

As an Artificial Intelligence Student, you will play a vital role in implementing AI projects on ... Develop and Train machine learning models through our specialized AI Video tools Validate and test ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Quincus

Machine Learning Engineer

Toronto, ON · On-site

Using AI and machine learning, we have digitized and optimized the logistics process while giving ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

CIBC US

Director, Business Intelligence

Toronto, ON · On-site +1

You'll also advance the use of leading-edge tools and analytical techniques, including artificial intelligence and machine learning, where applicable. Through your leadership, you'll help shape data ...

CIBC

Director, Business Intelligence

Toronto, ON · On-site +1

You'll also advance the use of leading-edge tools and analytical techniques, including artificial intelligence and machine learning, where applicable. Through your leadership, you'll help shape data ...

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $120,000 - $250,000 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

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Artificial Intelligence Machine Learning Internship information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning intern?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Toronto, ON? The most popular types of Artificial Intelligence Machine Learning jobs in Toronto, ON are:
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Artificial Intelligence Machine Learning Internship jobs near you
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

International Business University

Toronto, ON • On-site, Remote

CA$110K - CA$120K/yr

Full-time

Re-posted 25 days ago

Job description

Job Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

# of Openings: 1 opening for the Industrial Innovation specialization or Data Engineering specialization

Term: Indefinite

Department: EDVP Office

Reports to: Academic Director

Location: Toronto, Ontario

Expected Salary: $110,000.00 - $120,000.00 per annum

Reporting to the Academic Director, the successful Full-time Faculty candidate will be responsible for high-quality curriculum development, delivery of the courses, and student support and mentorship in the Master of Science in Artificial Intelligence Program. The professor is also responsible for analysis of student performance and curricular trends, and internal and external communications. 

The ideal candidate will also demonstrate a strong commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment on the IBU campuses. 

Qualifications:

  • Preference will be given to candidates with a terminal degree requirement and a demonstrated commitment to teaching and research. 
  • PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a closely related field is required.
  • Demonstrated track record of scholarly research, applied research, or industry engagement in AI-driven innovation.
  • Expertise in areas such as machine learning, deep learning, data engineering, intelligent systems, robotics, or applied AI solutions.
  • Experience teaching topics including Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Cybersecurity, Human-Computer Interaction, or AI applications in industry.
  • Demonstrated relevant academic background, research portfolio and a record of teaching excellence.
  • Experience with remote/online/hybrid instruction is desirable. 

Application Process:

Application Packages should contain the following:

  • A cover letter
  • A current CV
  • A statement of teaching philosophy and evidence of teaching effectiveness (e.g., examples of peer and/or student evaluations)
  • A research plan (up to two single-spaced pages)
  • Sample publications or a research portfolio
  • Indigenization, Equity, Diversity and Inclusion (I-EDI) Statement
  • Contact information of three referees will be requested of longlisted candidates

Note: Application materials should be submitted as a single combined PDF file, with a file name that identifies the applicant.

Candidates shall address their application to: Dr. Pavlos Gkasis, Academic Director. This position is a new vacancy, and the posting remains open until the position is filled. The position is subject to budgetary approval. Any questions may be sent to careers@ibu.ca. 

Apply