Top AI Jobs in Toronto

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

Conduct research on web technologies and AI, implement proof of concepts, and assist in writing technical papers for web content generation.

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 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.

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.

Conduct advanced research and prototyping in speech/audio AI, design deep learning architectures, develop audio AI capabilities, and collaborate with teams on innovative intelligent products.

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

The role involves developing and deploying generative AI applications using Microsoft Azure AI stack, focusing on LLMs, agent-based workflows, and scalable AI infrastructure.

The AI Developer will integrate generative AI into R&D methodologies, develop tools for research tasks, and collaborate with scientists and engineers.

Join Brookfield's AI Infrastructure Fund to analyze investments, conduct due diligence, and manage assets while collaborating across teams and fostering a dynamic culture.

As an AI Processor IP Product Engineer, you'll facilitate customer integration of AI processors into SoCs, ensuring performance and market readiness. Responsibilities include technical support and debugging complex systems.

The Applied AI Engineer will prototype AI solutions by building proofs-of-concept, integrating various AI tools, and collaborate with research and backend teams to refine and deploy AI memory solutions.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

The Senior AI Solutions Engineer will architect and deploy AI systems on Google Cloud, collaborating with clients and delivery teams to create enterprise-ready solutions.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The Senior AI Engineer develops and maintains backend services, APIs, and integrates AI-driven platforms while ensuring reliability and scalability in production environments.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Staff Product Manager, AI will lead the development of a new AI-native product for enhancing grid resilience, focusing on customer needs and product iteration from initial concept to market release.

As an AI Product Owner Intern, you will research emerging AI capabilities, contribute to reporting, assist in bug fixing, and prototype features, all while following strict methodologies.