Top AI Jobs in Toronto

Develop AI-powered workflows, conversational systems, and intelligent agents for construction planning. Collaborate with teams to optimize project automation.

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.

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

This internship focuses on AI research, specifically in natural language processing. Responsibilities include designing caching systems, developing retrieval mechanisms, and conducting experiments with NLP models.

This internship involves working on NLP and AI research, focusing on designing semantic systems, developing retrieval mechanisms, and experimenting with advanced models.

Lead the evolution of Service Desk operations with a focus on AI-driven automation, platform ownership, and integration of SaaS systems.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

The Senior AI Engineer will lead AI project architecture, build AI solutions, integrate systems, and promote MLOps best practices while collaborating with teams to apply AI in business contexts.

Lead sales efforts for AI solutions at Labelbox, developing relationships with top AI labs and Fortune 500 companies, managing the sales cycle and ensuring client satisfaction.

As a Telerobotics Operator, you'll operate robots, gather data, troubleshoot, and ensure their functionality in varying settings, advancing AI development.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

The Associate Product Marketing Manager- AI will shape product positioning, create content, lead GTM strategy, enable sales, and conduct market research.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The AI Outcomes Manager will collaborate with executives and users to transform organizations into AI-native enterprises, enhance customer engagement, and develop deployment strategies.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.