Top AI & Machine Learning Jobs in Toronto, ON

As a Deep Learning Research Scientist, you will design and develop novel deep learning systems, improve existing systems, and create open source projects addressing complex tasks. The role requires hands-on experience in deep learning and strong theoretical knowledge.

The UX Researcher will lead AI-enhanced experience research initiatives for Block's brands, translating insights into strategic recommendations and collaborating with teams to shape AI product integration.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

As a Senior Data Scientist for Bitcoin at Block, you'll drive product strategy, analyze experiments, and build data tools to enhance bitcoin adoption across Cash App and Square.

As a Staff Machine Learning Engineer, you'll lead ML system strategy for fraud and risk management, use analytics for decision-making, and drive technical solutions across teams.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.