Top AI Jobs in Toronto

Lead the design, development, and deployment of software solutions while mentoring junior engineers and collaborating with cross-functional teams.

Lead and manage the MCP and Agentic AI engineering teams, overseeing project execution, technical vision, and team development while integrating AI technologies into products.

Develop AI-powered solutions using Azure services, design retrieval-based architectures, and collaborate on advanced AI systems while mentoring other developers.

Develop and implement predictive AI features to enhance user experiences, including natural language understanding and personalized AI agents for software development.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

As a Staff Software Engineer, you'll create systems for AI capabilities, optimize LLM usage, and lead projects to enhance engineering quality by collaborating with product and infrastructure teams.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

As a Senior AI Product Manager, you will optimize product experiences, improve conversion rates, collaborate with teams, and leverage data insights to enhance user engagement.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

Lead technical design and implementation projects for generative AI, mentor engineers, and ensure scalable backend systems for AI solutions.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

Lead design of AI features for Firefox, creating user-friendly experiences, collaborating with cross-functional teams, and evolving design systems. Focus on privacy and ethical AI practices.

As an AI Research Scientist/Engineer, you'll develop advanced techniques for language models and agents. Responsibilities include novel fine-tuning methods, creating evaluation frameworks, and enhancing reasoning skills for strategic decision-making benchmarks. The role involves collaborating with leading researchers to drive innovations in open-source AI.