Top AI Jobs in Toronto

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

The Developer for Agentic Systems & Automation will build scalable workflows, integrate AI capabilities, and design reliable systems through collaboration with stakeholders.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

As an ESG & CSR Responsible AI Intern, you'll develop AI ethics principles, collaborate with teams, conduct audits and promote transparency in AI practices.

The Principal Software Engineer will integrate AI frameworks with cloud infrastructure to enhance performance and reliability, develop prototypes, and collaborate closely with the product team to meet constraints and requirements.

Develop frameworks for serverless computing optimized for AI workloads, analyze AI system performance, and evaluate emerging technologies.

Intern researchers will develop prototypes and explore AI-native graphics pipelines, focusing on GPU and NPU collaboration and efficient inference for intelligent devices.

The Senior AI Technology Strategy Expert will track AI developments, produce foresight reports, shape AI architectures, and collaborate on strategic initiatives.

The Senior Researcher will develop approaches in Embodied AI, work with generative AI and reinforcement learning, and contribute to top-tier research publications.

Intern Engineer in Digital IC Design focusing on RTL design, verification, optimization, and AI-assisted EDA techniques, collaborating with multiple teams.

The intern researcher will focus on developing LLM models for virtual environments, publishing papers, and contributing to AI/ML research frameworks.

Lead design of foundational AI models, optimize training efficiency, analyze AI infrastructures, and collaborate with internal/external organizations to enhance algorithm performance.

The Senior Technical VP leads AI competitiveness planning, ensuring product performance and innovation in AI computing systems through hardware/software co-design.

The Co-op Researcher will work on embodied AI research, implement algorithms, collaborate with researchers, and write technical reports.

As an Intern Strategic Researcher, you'll assist in researching AI and computing technologies, participate in conferences, and analyze technology challenges.

Lead system-level optimization of open-source AI frameworks, focusing on LLMs and reinforcement learning. Drive innovations and collaborate across teams.

Lead the design and development of AI-driven multimodal interaction systems, focusing on user experience, system integration, and innovative interaction models.

Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.

The role involves developing AI-based IDE technologies to improve software development efficiency, collaborating on language and compiler capabilities, and prototyping innovations for developers.

Lead cutting-edge research combining AI and computational sciences. Collaborate on AI infrastructure, prototype solutions, mentor junior researchers, and publish impactful findings.

The Principal Architect will design foundational model architecture for AI, optimize hardware efficiency, and lead distributed training infrastructures.

Research emerging trends in AI-powered big data systems, develop proofs-of-concept, optimize performance, and collaborate on innovative solutions.

Lead the design and deployment of AI multi-agent systems on cloud platforms, integrate AI models, and collaborate with a global team.

The Technical VP for AI & Data Storage will define technology roadmaps, lead research advancements, and mentor engineers in evolving storage systems integrated with AI.

Engage in AI research to optimize systems on edge devices, develop efficient algorithms, and analyze AI model performance.