Top Tech Jobs & Startup Jobs in Toronto

The Co-op Researcher role involves investigating autonomous driving problems, designing algorithms, prototyping ideas, and collaborating with researchers in AI advancements.

The intern will research and prototype AI agents and intelligent systems, analyze industry trends, develop experimental AI applications, and contribute to internal reports on emerging AI technologies.

The job involves conducting applied AI research, developing algorithms for computer vision, and producing impactful academic publications. The role requires collaboration with product teams and focuses on real-world application of AI techniques.

Conduct applied research to develop AI data engine and storage architectures for large-scale workloads, optimize system software, and advance AI storage technologies.

The Machine Learning Engineer will develop and deploy ML models for energy forecasting, build components for digital twin platforms, and collaborate across teams on practical solutions.

The Principal Compiler Engineer will design and optimize software for heterogeneous architectures, mentor junior developers, and drive project planning and innovation.

As an Intern Researcher, contribute to research on large language model-based agents, focusing on evaluation and autonomous reasoning. Involves formulating problems, conducting experiments, and contributing to publishable work.

The Technical VP will analyze GPU computing architecture and trends, develop cluster systems, and enhance GPU technology for applications like AI and rendering.

The role involves leading AI/ML technical planning, evaluating new technologies, collaborating with stakeholders, and fostering innovation in the team.

Lead the development of competitive bus architectures and interconnection protocols for AI and computing. Innovate in chip design and ensure business success through system-level solutions.