Capital One National Association
Senior Engineer - Generative AI Product Engineering
Capital One National Association, San Francisco, California, United States, 94199
Senior Engineer - Generative AI Product Engineering
Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include:Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor’s degree in Computer Science, Computer Engineering or a technical field.At least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or Java.At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.Preferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Keen attention to following production standards and practices.Passionate about ML optimizations and open source technologies.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include:Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor’s degree in Computer Science, Computer Engineering or a technical field.At least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or Java.At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.Preferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Keen attention to following production standards and practices.Passionate about ML optimizations and open source technologies.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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