Top Machine Learning Jobs in Toronto

The Head of AI leads the design and implementation of AI initiatives, focusing on enhancing operations and customer experience. Responsibilities include strategy development, team management, product development, and compliance oversight.

This role focuses on conducting innovative pilot projects and implementing data strategies to drive quality performance and the adoption of digital solutions across the organization.

Manage the delivery of AI-powered agent assistance projects from design to deployment, including financials, risks, and stakeholder engagement.

The Senior Manager of SAP Operational Reporting defines and executes data analytics and reporting strategies for SAP technologies, drives digital transformation, and leads cross-functional collaborations to deliver actionable insights and solutions.

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead growth strategies for consumer lending products at Cash App, collaborating across teams to enhance user experience and ensure regulatory compliance.

Lead the growth of lending products at Cash App, driving cross-functional alignment, enhancing user experience, and ensuring regulatory compliance.

The role involves designing, deploying, and refining ML systems for conversational AI, focusing on large-scale LLM workflows while ensuring responsible AI practices and mentoring team members.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

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.

The Senior Machine Learning Engineer at Coinbase will develop machine learning solutions for fraud detection, recommendation systems, and more, enhancing user experience while safeguarding the platform.

The Head of Design will lead design efforts for Square's Financial Suite, focusing on product experience, automation, and team mentorship while integrating financial management tools for small businesses.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

Lead and manage a team of software engineers to develop innovative hardware, software, and AI solutions for physical operations, ensuring customer satisfaction and team growth.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

The Engineering Manager will develop strategies for Payments Risk engineering, mentor team members, provide technical leadership, and collaborate with cross-functional teams while fostering an inclusive team environment.

The Implementation Consultant II will ensure customer satisfaction with Noggin software implementations, including gathering requirements, configuring solutions, conducting training, and supporting clients throughout the process.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

The Staff Machine Learning Engineer designs and implements models for risk management, develops real-time ML pipelines, and collaborates with experts to enhance financial operations using ML and GenAI techniques.

Design and implement the core Risk platform architecture. Manage project priorities, mentor team members, and write high-quality code. Collaborate with stakeholders across the organization.

The AI Business Analyst will optimize Dropbox's support systems using AI, analyze performance, and guide AI project prioritization to improve customer outcomes.