Top AI Jobs in Toronto

As a Senior Data Scientist at Dropbox, you'll shape AI product strategies, collaborate with cross-functional teams, and leverage data insights to drive impactful decisions.

The Staff Software Engineer will lead AI-driven initiatives, building systems for advertising, content creation, data modeling, and SEO that enhance real estate agents' market presence.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The Lead AI Technical Architect will define banking use cases, bridge business and tech stakeholders, and contribute to AI/ML product development in financial services.

The Data Scientist will design and build machine learning solutions, optimize for business value, and guide customer success through technical expertise and collaboration.

The Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

This role involves collaboration across various stakeholders to influence product vision, drive execution, and ensure quality in developing the VNDLY product, enhancing customer engagement and adoption.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The role involves leading as a thought leader in technology operations and AI implementation, mentoring executives, advising on technology strategies, and producing actionable insights for clients.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

The Senior Director in Technology Operational Risk will manage technology risk across domains, advise on technology, build relationships, and communicate effectively with senior audiences.

As a Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

The Lead AI Engineer is responsible for designing, developing, and maintaining AI/ML systems, optimizing models, implementing workflows, and mentoring team members while ensuring high-quality outputs.

Lead AI-driven marketing transformation by managing product deployments, engaging with teams, and ensuring best practices for AI adoption and ROI.

The Technical Talent Acquisition Partner will manage the recruitment process, source candidates, and align hiring strategies with business needs to attract top talent in a dynamic environment.

The Manager of Visual Design for Agent Suite will lead visual expressions and storytelling for Mastercard's AI products, ensuring brand integrity and driving successful outcomes through innovative design practices.

The Senior AI Engineer will develop scalable AI/ML systems, manage model deployments, automate workflows, and ensure operational stability and performance of AI solutions.

Design, document, and deliver cloud solutions focused on Azure. Lead migration initiatives, optimize cloud performance, and collaborate across teams.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

The AI Engineer will design and enhance scalable AI services, collaborating with a team across the development lifecycle, while maintaining high code quality and system reliability.