Top Machine Learning Jobs in Toronto

The Staff Machine Learning Engineer will develop machine learning and deep learning models for churn risk assessment and product recommendations, lead cross-functional projects, and mentor team members. This role involves designing ML systems and collaborating with business leaders to enhance seller growth and retention.

The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.

The Senior Manager Data AI & Analytics will lead the design and implementation of data analytics strategies for digital agriculture, develop technology solutions to optimize crop production and sustainability, integrate diverse datasets, and drive innovation in digital agriculture. They will oversee a high-performance team and collaborate with cross-functional teams to meet business outcomes and compliance.

The Staff Software Engineer for Afterpay Media Network will collaborate with cross-functional teams to optimize data systems, deploy machine learning models for advertising solutions, and maintain user identifiers in Cloud environments. Responsibilities include designing scalable data warehouses, ensuring data quality, and integrating with advertising tools and partners' APIs.

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.

As a Senior Machine Learning Engineer, you will develop and enhance machine learning platforms and infrastructure, collaborate with stakeholders, and automate pipelines for model deployment and monitoring, ensuring high quality and scalability of ML solutions.

The role involves shaping the technical vision for the underwriting platform, promoting engineering excellence, mentoring teams, and refining systems to accommodate customer demands. The engineer will collaborate cross-functionally to align on goals and deliver impactful features, leveraging expertise in software development and ML infrastructure.

The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, champion engineering excellence, mentor engineers, scale systems, and collaborate across teams to enhance credit solutions and integrate machine learning.