Top AI Jobs in Toronto

As an AI Product Manager, you will lead the product development for AI-driven features, collaborating with engineers and designers to optimize user experiences and ensure alignment with business objectives.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

Research new style Network Filesystem storage, develop metadata management service, perform system testing, and drive root cause identification in storage environment. Participate in team meetings and report progress.

The researcher will develop and evaluate AI/ML models, prototype innovative solutions, and collaborate to enhance product capabilities for smart devices.

The Principal AI Engineer will lead AI solution design, development, and implementation, focusing on generative AI and LLMs while collaborating with business leaders to drive innovation and ensure compliance.

The role involves managing the AEC Generative AI program, coordinating cross-functional teams, ensuring project delivery, and defining launch criteria for AI features.

Develop and support backend systems for CoLab's 3D AutoReview features, integrating machine learning concepts while collaborating across teams. Solve complex math challenges in 3D design analysis.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

Lead AI-driven transformations in gaming, providing engineering direction, building scalable systems, and managing technical strategy while mentoring teams.

The Solutions Architect for AI Infrastructure at NVIDIA will define, deploy, and manage large-scale GPU systems, providing technical support and guidance to customers throughout the entire project lifecycle.

Life360 seeks a Senior Software Engineer to enhance AI-native mobile development tools. The role focuses on maintaining infrastructure for continuous testing and quality automation, collaborating with teams to improve product development, and applying AI insights for efficient workflows.

As a BizOps Analyst, you'll redesign workflows, improve processes, implement tools, and enhance operational efficiency while collaborating with various teams.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.

The AI Solutions Architect enhances AI architectures, coordinates production transitions, and ensures compliance with enterprise standards while collaborating with various stakeholders.

The Director of Performance Marketing will lead paid marketing strategy, focus on AI integration, manage a high-performing team, and ensure alignment with business objectives.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

The AI Developer role focuses on transforming customer support with AI tools, enhancing efficiency, response times, and customer experience through solutions like chatbots and workflow automation.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

The Staff Android Engineer will drive Android experiences across multiple features, ensuring cohesive user interfaces, unblock technical challenges, and promote AI-native practices, while mentoring teams and delivering high-quality code.

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.

The AI Infrastructure Specialist leads GPU infrastructure deployments, optimizes bare metal configurations, validates Kubernetes setups, and documents processes for customers to ensure self-sufficiency and scale operations effectively.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.