Top AI Jobs in Toronto

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

Drive AI projects end to end, collaborate with teams to develop AI applications, and establish best practices for AI deployment.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing the development of ML solutions to improve customer experiences. Responsibilities include team management, collaboration with product leads, and direct contribution to strategic plans while staying updated on industry trends in AI.

Join Overbond to automate bond trading through AI-driven data streams. Drive pricing, execution, and analytics for trading desks globally.

The Staff Machine Learning Engineer will build and evaluate large-scale machine learning systems, collaborate with scientists, and mentor others in software engineering best practices.

As a Principal Machine Learning Engineer, you'll implement machine learning algorithms, collaborate with teams, design model architectures and guide ML engineers to enhance AI functionalities across Atlassian products.

As a Staff Data Architect Engineer, you'll collaborate with teams to architect, build, maintain, and optimize data models and services for contract lifecycle management software.

As a Full-Stack Developer, you will design and implement full-stack applications, mentor junior developers, and drive architectural decisions while working with cutting-edge technologies.

Outlier seeks Math Experts to evaluate AI outputs, craft questions, and assess relevance. Flexible, remote freelance position.

Develop and execute verification strategies for NoC fabrics and data movement architectures, including building scalable testbenches and debugging system-level issues.

The AI/ML Engineer will develop, deploy, and maintain AI/ML capabilities, prompt engineering, perform analytics, and collaborate with multiple teams to enhance audit processes.

The Senior Solution Architect at Snowflake will lead technical migration projects, develop ETL workflows, and optimize cloud solutions while ensuring customer success.

The AI Developer I will work on enhancing data usage, delivering AI solutions, supporting AI foundations, and evolving software products.

As a Machine Learning Engineer, you will develop and deploy advanced neural networks, collaborating with teams to create effective AI solutions and improve model performance.

As a Full-Stack Software Developer, lead software design, develop AI-based tools, and ensure quality through testing and collaboration.

The Junior AI Engineer will design, develop, and deploy machine learning models, maintain ML pipelines, and collaborate with teams.