Top AI Jobs in Toronto

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead the vision and execution of the AI Agents Platform, integrating AI into customer experiences while defining product strategy and requirements. Collaborate across teams to enhance user experience and drive product success.

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

As an Applied AI Scientist, you'll develop and deploy AI models, collaborate with cross-functional teams, and analyze metrics to support business goals.

The role involves developing AI/ML features, collaborating with teams, optimizing model performance, and maintaining robust software engineering practices.

The Principal Product Marketing Manager will lead go-to-market strategies for Auth0's AI portfolio, collaborate with product and engineering teams, create technical materials, and represent the company in external engagements.

Join Tenstorrent as a Senior Machine Learning Engineer responsible for developing AI application demonstrations and APIs. Experience in Kubernetes and AI frameworks is valued.

The Network Engineer will design, build, and optimize networking infrastructure for AI/ML operations, manage network fabrics, troubleshoot issues, and plan for capacity.

Architect and build AI enriched systems, focusing on full stack development and integrating AI capabilities while ensuring performance and reliability. Collaborate with stakeholders to convert ambiguous requirements into actionable plans and maintain high code quality using AI tools.

As a Senior AI Programmer, you will develop and optimize advanced AI systems, mentor junior programmers, and collaborate with design and animation teams to enhance game AI behaviors.

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.

As an AI Engineer at Thomson Reuters, you will develop AI-driven software for accounting professionals, collaborate with engineers, and grow through mentorship and independent work.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Develop AI-powered features and optimize performance using LLM frameworks. Collaborate with teams and innovate with AI technologies in a production setting.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Develop and scale Generative AI systems, handle end-to-end design and coding, and collaborate with teams on AI applications and data products.

Lead the AI Software Development Engineering team, managing software lifecycle, collaborating with stakeholders, overseeing AI applications, and ensuring team success.

The Senior Software Engineer, AI will develop and implement AI/ML features, collaborate with teams, optimize model performance, and ensure coding excellence in various programming languages.

Develop and maintain a platform for AI agents, focusing on multi-agent collaboration, workflow management, and compliance with AI privacy standards.

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.