Top AI Jobs in Toronto

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

Conduct advanced AI research, develop new algorithms and scalable solutions, mentor junior staff, and publish findings in top-tier venues.

The Product Manager, Data & AI will define product vision, manage delivery of data products, and ensure compliance, focusing on business impact and user adoption.

Lead the exploration and development of Generative AI capabilities for the AEC industry, collaborating with various internal teams and managing project requirements and updates.

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.

Build backend infrastructure and APIs connecting Lyft to emerging AI ecosystems. Lead features from design to launch, write maintainable code, participate in on-call rotation, debug production issues, and collaborate cross-functionally.

The role involves building scalable AI solutions, enhancing productivity through agentic automations, and integrating LLMs and other advanced AI frameworks.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

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.

The VP of Product Engineering leads engineering teams to create high-performance AI products, boosts team dynamics, and ensures effective communication across teams.

Partner with the Managing Director of AI to design and operationalize AI-enabled processes and scalable automated engines, lead client transformations end-to-end, establish governance and evaluation routines, manage delivery and staffing, and produce executive materials to drive adoption and measurable outcomes.

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 role involves innovating tests for AI infrastructure, automating test strategies, ensuring high reliability and security for large-scale deployments, and understanding distributed ML systems. Candidates must have strong coding and debugging skills in a team focusing on AI technology.

As Director of Product Marketing, you'll lead the narrative on Coveo's solutions, shape market strategies, and drive demand generation with a high-performing team, focusing on enterprise SaaS applications.

Lead the engineering team focused on transforming Autodesk.com into a digital growth platform. Oversee execution and technical leadership, collaborating across functions to drive customer acquisition and trial conversion.

As a Senior Software Development Engineer, you'll enhance the AI-driven contract management platform, collaborating across teams to deliver scalable solutions while monitoring and optimizing code quality.

Looking for a Staff AI Productivity Engineer to enhance the effectiveness of AI coding tools within engineering. Responsibilities include building infrastructure, integrations, and documentation to improve AI productivity across the codebase.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.