Machine Learning Infrastructure Principal
Capital One - CA
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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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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Reference: WJ-3875_16153011 · Posted 11 Nov 2026, 08:29 PM