Top Machine Learning Jobs in Toronto

The Senior Machine Learning Engineer will lead projects in the Conversational AI team, focusing on developing scalable ML solutions for Square's products, working collaboratively with various teams, and advocating for best engineering practices. Responsibilities include managing ML systems lifecycle, collaborating on product features, and maintaining production-level code.

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 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 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.

As a Senior Backend Developer, you will advance the Machine Learning Platform by developing scalable and fault-tolerant services, designing and maintaining machine learning services, collaborating with stakeholders to define complex system requirements, and integrating AI research innovations.

As a Machine Learning Engineer, you'll work on developing and deploying machine learning models for a content recommender system, collaborating with data engineers to enhance data collection and features. You'll analyze customer behavior and conduct A/B tests to improve system performance.

The Staff Machine Learning Engineer will lead the technical vision and hands-on development across the credit and underwriting platform. Responsibilities include mentoring teams, refining systems for customer demands, collaborating with cross-functional teams, and ensuring engineering excellence while incorporating generative AI technologies into workflows.

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.