Top Tech Jobs & Startup Jobs in Toronto

The Software Engineer (Backend) designs, implements, and maintains cloud-based applications while utilizing AI/ML technologies, mentoring junior engineers, and enhancing process efficiency.

Lead the development of neuro-symbolic AI systems, focusing on multi-modal models and domain-specific reasoning to enhance the interaction of legal and tax professionals with information.

As Principal Engineer, AI, you will lead the design and development of AI systems, mentor a distributed team, and ensure alignment with business objectives, focusing on content and editorial workflows.

The Lead Research Engineer develops AI methodologies, delivers high-quality solutions, leads teams, and engages in cross-functional collaboration in a dynamic environment.

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

The Associate Salesforce Engineer drives technical implementations on the Salesforce platform, collaborates with teams, and contributes to solution development and documentation.

The Lead DevOps Engineer will define system architectures, mentor engineers, oversee CI/CD pipelines, and ensure solutions meet security and compliance requirements.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

The Lead Software Engineer - AI will develop AI-driven backend services, collaborate with AI teams, ensure scalability, and implement cutting-edge solutions.

The Senior Research Engineer will develop and deliver scalable ML solutions, build data processing pipelines, and communicate effectively within a collaborative team, while innovating through modern software development practices.