Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Meta's Toronto office is focused on solving the hardest problems at unimaginable scale. The company culture emphasizes taking ownership and delivering as a team, with a strong focus on innovation and pushing boundaries. The office is actively working on cutting-edge projects in artificial intelligence, AR technology, and machine learning systems.

The role involves working on ML frameworks, compilers, and kernels within the AI Infrastructure team. This position offers the opportunity to work on systems that power Meta's AI initiatives across its family of apps and technologies. The team is particularly focused on merging physical and digital worlds with AR tech, while also developing and implementing machine learning solutions at scale.

This is an excellent opportunity for engineers passionate about machine learning systems and infrastructure who want to make an impact at global scale. The position offers the chance to work with world-class engineers and researchers, while contributing to technology that affects billions of users worldwide.

The role combines deep technical expertise in machine learning systems with the opportunity to work on next-generation AI infrastructure. You'll be part of a team that's not just using existing technologies, but actively developing new ones to solve unprecedented challenges in the AI space.