Top AI Jobs in Toronto

As an AI Architect, you will design and implement AI solutions to solve key business problems. You'll work with stakeholders to understand their needs, create a roadmap for AI projects, and deploy effective AI tools. Your role includes training the team on AI technologies and ensuring that AI systems are well-integrated and effective. Staying up-to-date with AI trends and ensuring data quality will be essential to your success in this role.

Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.

As a Senior/Staff AI Engineer at Agility Robotics, you will lead a team to develop cutting-edge autonomous capabilities for humanoid robots, focusing on visuomotor policies, planning, and leveraging text and image models. You will stay updated on AI advancements, implement ML algorithms, pursue a research agenda, and train models on various data sources.

High-impact software engineer role at Mutiny, working on AI-powered personalized experiences and data services. Responsibilities include building tools for B2B companies, collaborating on AI features, designing and running research experiments, and setting direction for data and AI strategy.

As a Staff Software Developer at CoLab, you will work on cutting-edge projects, develop best practices for software teams, mentor build team members, and design production infrastructure for ML models. Join a groundbreaking team that values innovation and fosters professional growth.

Perplexity is seeking an experienced Full Stack AI Software Engineer to help revolutionize the way people search and interact online. Responsibilities include proposing novel product features, staying updated on AI advances, improving codebase speed and quality, and collaborating across disciplines. Qualifications include strong programming skills across the full stack, 2+ years of industry experience, and a proven track record with LLM APIs.

AI Engineer & Researcher focused on building data processing systems, managing cloud compute clusters, and pre-processing datasets for AI training. Strong communication skills and passion for improving data and models required.

Lead and grow a team dedicated to improving platform functionality and user experience, focusing on AI automation and productivity features. Drive strategic initiatives to align engineering efforts with business goals. Provide technical guidance, mentor engineers, and collaborate with product managers to enhance product features. Spearhead the integration of AI technologies into the platform.