Top AI Jobs in Toronto

The Senior Backend Engineer at Speechify will focus on backend development, enhancing infrastructure efficiency, optimizing product flows, and deploying high availability applications, especially in AI-driven audio solutions.

The role involves developing AI governance policies, supporting data classification processes, and ensuring compliance with information regulations, while collaborating with various governance partners.

As a Product Design Intern, you'll design user experiences for AI Agent products, conduct user research, prototype, and collaborate with teams to enhance product strategy and usability.

Lead the Agentic AI Pod to develop and implement AI strategies and products that enhance event marketing workflows and user experiences.

The Senior Application Engineer will architect and develop AI agents using Salesforce Agentforce, build automations, and integrate external data sources, while collaborating on projects and mentoring others.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

The Senior AI Engineer will develop and scale Generative AI systems, manage AI applications' lifecycle, and integrate LLMs with data streams while providing leadership and mentoring to junior engineers.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

As a Staff Engineer at Conga, you'll lead the design and development of innovative AI solutions, provide architectural leadership, mentor teams, and align AI projects with organizational goals.

As Software Architect for the AI Platform, you'll define and evolve architectural strategies for AI systems, lead complex technical initiatives, and mentor engineers to enhance AI products while ensuring scalability and performance.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Design and build AI infrastructure platforms, enhance developer workflows with AI automation, and establish best practices for AI usage. Collaborate across teams to deliver scalable AI solutions while mentoring and implementing cost management systems.

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

The GTM Operations Specialist is focused on deploying AI-driven GTM content, managing asset creation, and optimizing workflows for team efficiency. Responsibilities include project management, content readiness for events, and cross-functional collaboration to meet timelines and metrics for product launches.

The Trusted AI Consultant will advance Autodesk's AI governance strategy, conducting risk assessments and collaborating across teams for responsible AI practices.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

Design and develop editor features, APIs, and tools to integrate AI into the Unity Editor, enhancing game development workflows and collaboration.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.