Capital One National Association
Senior Data Scientist, AI Foundations
Capital One National Association, San Francisco, California, United States, 94199
Senior Data Scientist, AI Foundations
At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers. AI is transforming every industry, and at Capital One, you will help shape how it transforms financial services.Team DescriptionThe AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech, and design teams to deliver app features that delight customers with dynamic and personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapting and fine-tuning them for customer-facing applications and features.Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate is:Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing for our customers.Innovative. You continually research and evaluate emerging technologies and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems and love asking questions to find answers.A leader. You challenge conventional thinking and work with stakeholders to improve the status quo.Technical. You’re comfortable with advanced ML and DL technologies including language models and have hands-on experience working with LLMs.Influential. You communicate clearly and effectively to share your findings with non-technical audiences.Experienced in training language models or large computer vision models with expertise in key subdomains such as training optimization and explainability.Possessing an engineering mindset with a track record of delivering models at scale.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree, or currently has, or is in the process of obtaining a PhD.At least 1 year of experience in open source programming languages for large scale data analysis.At least 1 year of experience with machine learning.At least 1 year of experience with relational databases.Preferred Qualifications:Master’s Degree in “STEM” field plus 3 years of experience in data analytics, or PhD in “STEM” field.At least 1 year of experience working with AWS.At least 2 years’ experience in Python, PyTorch, Scala, or R.At least 2 years’ experience with machine learning.At least 2 years’ experience with SQL.At least 2 years' experience working with natural language processing.Capital One will consider sponsoring a new qualified 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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At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers. AI is transforming every industry, and at Capital One, you will help shape how it transforms financial services.Team DescriptionThe AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech, and design teams to deliver app features that delight customers with dynamic and personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapting and fine-tuning them for customer-facing applications and features.Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate is:Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing for our customers.Innovative. You continually research and evaluate emerging technologies and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems and love asking questions to find answers.A leader. You challenge conventional thinking and work with stakeholders to improve the status quo.Technical. You’re comfortable with advanced ML and DL technologies including language models and have hands-on experience working with LLMs.Influential. You communicate clearly and effectively to share your findings with non-technical audiences.Experienced in training language models or large computer vision models with expertise in key subdomains such as training optimization and explainability.Possessing an engineering mindset with a track record of delivering models at scale.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree, or currently has, or is in the process of obtaining a PhD.At least 1 year of experience in open source programming languages for large scale data analysis.At least 1 year of experience with machine learning.At least 1 year of experience with relational databases.Preferred Qualifications:Master’s Degree in “STEM” field plus 3 years of experience in data analytics, or PhD in “STEM” field.At least 1 year of experience working with AWS.At least 2 years’ experience in Python, PyTorch, Scala, or R.At least 2 years’ experience with machine learning.At least 2 years’ experience with SQL.At least 2 years' experience working with natural language processing.Capital One will consider sponsoring a new qualified 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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