Vector will build on Canada’s outstanding pool of globally recognized AI expertise by training, attracting and retaining more top researchers who want to lead the world in machine learning and deep learning research, while having the flexibility to work on commercial applications with companies or in their own startups.
We are located at the MaRS Discovery District in downtown Toronto, part of a dynamic and vibrant community of research, academia, health science and commerce, near the University of Toronto. With state-of-the art facilities, resources and talent, the Vector Institute is the place to come, to be and to stay.
Stay tuned over the coming weeks for more information on jobs such as those posted here, as well as student scholarships, fellowships and programming.
As an Applied ML Scientist, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world problems with machine learning and AI.Read more
You will help organize administrative tasks associated with the portfolio including overseeing processes that have been established for data access and maintaining detailed records associated with all internal and external health documents, amoung other duties and tasks.Read more
Become part of a dynamic and growing AI ecosystem through Vector’s Black and Indigenous Research Internship Program. This program designed to meet the criteria of Special Programs in line with the values of the Ontario Human Rights Code to assist underrepresented groups to achieve equal opportunity in the field of AI. Work alongside world-renowned Vector […]Read more
Become part of a dynamic and growing AI ecosystem through Vector’s AI internship program. Explore theoretical or applied research areas with leading machine learning researchers. To join the Vector Institute as a research intern, you must be supervised by a Vector Faculty Member. The deadline for Summer 2023 internship applications is January 9th, 2023, at […]Read more
The Director, Health Data and Partnerships, will lead the implementation of Vector’s data strategy and its data partnerships with public and private sector stakeholders, with the goal of establishing Vector as a centre of excellence for data access for AI/ML research.Read more
If you are a well-rounded, self-motivated, eager, and positive individual who enjoys helping people and will be the first point of contact in providing business computing support to internal staff members.Read more
You will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI.Read more
You will share responsibility in managing server, network and storage for the High Performance Computing grid as well as provide support for the office local area network, servers and scientific computing workstations, amoung other duties and tasks.Read more
The CEO will be responsible for setting the vision and multi-year strategy for the Vector Institute, overseeing all aspects of the organization’s operations.Read more
Student & Research Opportunities
The Vector Institute is not a degree-granting institution. Students affiliated with the Vector Institute will be full-time graduate students at an affiliated university. Students interested in studying at Vector should apply directly to departments of affiliated universities where Vector-affiliated faculty hold academic positions, and state in their application their desire to work with Vector-affiliated faculty. Due to volume, individual faculty do not respond to individual requests to evaluate applications.
Please continue to check our website for the most up-to-date list of affiliated universities.
- University of Guelph
- University of Toronto
- University of Waterloo
If you are an undergraduate student or high school student interested in pursuing an education in machine learning and artificial intelligence, you can contact a program administrator or the Office of Research at your university of interest to learn about prerequisites and relevant courses. Students pursuing an education in machine learning and artificial intelligence typically have a strong foundation in computer science, engineering, mathematics, or statistics.
We are in the early stages of building the Vector Institute’s academic programs. Vector is not currently accepting applications for research assistants or visiting scientists.
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