The Vector Institute is dedicated to advancing the transformative field of artificial intelligence
Toronto, Ontario
Vector Institute is an independent, not-for-profit corporation dedicated to research in the field of artificial intelligence (AI), excelling in machine and deep learning. We work with institutions, industry, start-ups, incubators and accelerators to advance AI research and drive its application, adoption and commercialization across Canada. Launched in March 2017 with generous support from the Government of Canada, Government of Ontario, and private industry, and in partnership with the University of Toronto and other universities. Vector prioritizes transparency. Viewers will be made aware of any AI-generated content before they listen, view or read it.
On-site · Toronto
The intern will assist in the development and management of AI upskilling programs and collaborative projects for industry sponsors. They will also provide quantitative and qualitative analysis, facilitate meetings, and conduct research to support the Industry Innovation work stream.
On-site · Toronto
The intern will develop AI software, reference applications, and model templates using agile methodologies to solve real-world problems. They will also contribute to open-source projects and collaborate with researchers and industry sponsors on AI engineering tasks.
On-site · Toronto
The intern will conduct primary and secondary business research to support the FastLane team's programming and product development. They will also assist with program implementation, company onboarding, and the creation of reports and models.
On-site · Toronto
The intern will assist in project planning, conduct research on the AI workforce, and analyze stakeholder findings to support AI talent initiatives. They will also collaborate on tracking program metrics and developing prototypes for talent assessment portals.
Hybrid · Toronto
The Machine Learning Associate will collaborate with SMEs to design, develop, and deliver proof-of-concept AI solutions focused on Generative and Agentic AI. They are responsible for pre-processing data, building and deploying models, and ensuring business value through iterative experimentation and documentation.