Advance machine learning infrastructure at Capital One Canada in Toronto, combining AI engineering, optimization, and production system expertise.
This Principal Associate AI Engineer role supports responsible, reliable AI systems through the Intelligent Foundations and Experiences team. You will work across disciplines to build proprietary solutions serving millions of customers. The position emphasizes technical vision, experimentation, and high-performance AI infrastructure.
Key Responsibilities: Contribute to foundational AI systems’ technical vision
Build, test, deploy, and support AI software components
Develop model evaluation and experimentation capabilities
Use Open Source and SaaS AI technologies




Introduce state-of-the-art LLM optimization techniques
Requirements: Degree in computer science, AI, or related engineering field
Three years developing AI and machine learning algorithms
Programming experience with Python, Go, Scala, or Java
Experience deploying scalable responsible AI on cloud platforms preferred
Experience optimizing training and inference software preferred
Bring deep AI engineering, cloud, and optimization expertise to Capital One’s scalable, responsible machine learning infrastructure.

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📌 Machine Learning Infrastructure Principal (Ontario)
🏢 Capital One
📍 Ontario