Top AI Jobs in Toronto

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 Staff AI Engineer at Cash App, you'll design and enhance machine learning services to combat financial crimes. Collaborating with various teams, you'll drive the strategic roadmap and optimize operations using generative AI technologies. The role includes leading ML infrastructure development and ensuring effective agent workflows.

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 AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.

This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.

The Solutions Designer will lead the design and implementation of Speech AI engagement projects. Responsibilities include managing timelines, facilitating communication between stakeholders, ensuring project delivery, and maintaining documentation. The role requires collaboration with technical teams and strong communication skills to extract and manage client expectations.

The Senior Staff Engineer will design and implement technical solutions based on client requirements, ensuring adherence to best practices and non-functional requirements. Key responsibilities include defining architecture, mapping decisions to development, conducting reviews, and performing POCs.