VI

Vector Institute

Verified Job Source

The Vector Institute is dedicated to advancing the transformative field of artificial intelligence

Toronto, Ontario

Research Services
501–1,000 people

About

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.

Open positions

Machine Learning Associate

Remote · Toronto, Ontario, Canada

Design and develop proof-of-concept AI solutions focusing on Generative and Agentic AI for Canadian small- and medium-sized enterprises. Responsibilities include pre-processing data, deploying models on cloud infrastructure, and delivering final project documentation.

Applied AI Program Design & Delivery Intern

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.

Applied Machine Learning Intern

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.

AI Adoption & Partnerships Intern, Broader Public Sector

Remote · Toronto, Ontario, Canada

The intern will support the design and implementation of tools to create AI capabilities within the Broader Public Sector. They will also assist in managing projects, drafting proposals, and coordinating meetings with various stakeholders.

FastLane Program Analyst Intern

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.

Data Analytics Intern

On-site · Toronto

The intern will manage and analyze data from various sources to generate actionable insights and maintain databases. They will also assist with automation workflows and create data visualizations to support research and workforce development objectives.

Program Strategy & Development Intern

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.

Machine Learning Associate

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.

Technical Specialist

Hybrid · Toronto

The Technical Specialist will support the user community by resolving technical issues and maintaining business computing infrastructure. They will also participate in cybersecurity program activities and assist with the procurement and deployment of computing equipment.

Applied Machine Learning Scientist

On-site

Applied Machine Learning Scientist - Agent Evaluation and Harness Engineering POSITION SUMMARY As an Applied Machine Learning Scientist, Agent Evaluation and Harness Engineering, you will lead applied research on evaluation, observability, stress-testing, and systematic improvement of AI agents. The role focuses on assessing agent performance and safety across long-horizon, multi-step tasks, and on building methods and tools to help organizations understand whether those systems are working, why they fail, and how to make them measurably better. A core objective is developing adaptive eval…