Top AI Jobs in Toronto

As an AI Research Scientist, you will lead projects that apply reinforcement learning strategies for engineering solutions and collaborate with a team to innovate in AI applied to the physical world.

Lead a team to develop AI-native document generation workflows while ensuring quality and operational excellence, collaborating with cross-functional partners.

Lead a team in developing AI-native document generation workflows while ensuring quality and operational excellence. Collaborate with cross-functional partners to align technical direction with company goals.

The Technology & AI Learning Specialist delivers technical training programs, manages projects, collaborates with stakeholders, and designs engaging curricula for attorneys and staff.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a Senior Full Stack Engineer, you'll develop user-facing features and back-end infrastructure for AI agents, ensuring quality and scalability in a collaborative environment.

The Senior Software Engineer will build AI-powered features, collaborate across teams to enhance user experience, and optimize AI models for performance and security.

The AI Architect will define and implement AI strategies, oversee architecture and technical leadership, and ensure the effective use of AI across product engineering teams.

The AI/ML Engineer will design and maintain scalable ML infrastructure, implement ML technologies, and optimize ML systems, collaborating with cross-functional teams to enhance Okta’s AI/ML capabilities.

The ML Developer will develop and optimize machine learning models, integrate AI features into applications, and collaborate with teams for best practices in AI solutions.

The Sr. Machine Learning Engineer will design and deploy scalable ML systems, collaborate across teams, and ensure production readiness of ML models using modern frameworks and cloud services.

Lead the AI engineering direction and oversee the development and deployment of AI systems, while mentoring teams and ensuring compliance with best practices.

As an AI/ML Product Manager at Versapay, you'll manage products that leverage machine learning solutions, drive change, and enhance customer experience across platforms from ideation to implementation.

Lead the development of TT-Forge, a compiler focused on AI performance and optimizations, managing a team to implement kernel-level enhancements and scaling transformations.

Lead the development and deployment of AI solutions and LLM applications, collaborating across teams to drive transformative business outcomes.

Lead and manage the MCP and Agentic AI engineering teams, overseeing project execution, technical vision, and team development while integrating AI technologies into products.

The SEO Specialist (AI Search) will use generative AI to enhance SEO content, optimize customer journeys, and drive eCommerce revenue, while also handling chatbots and personalization strategies.

Build and refine machine learning models for AI detection, develop scalable ML systems, and collaborate with design and product teams to create impactful applications.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

As a Software Engineer at Shakudo, you'll build and manage AI applications, transforming business challenges into AI solutions while directly engaging with customers. You'll leverage various tools to deliver impactful outcomes in enterprise environments, focusing on innovation and productivity.