Capital One is looking to solve the problem of individually personalizing every credit card offer using statistical modeling and relational databases, and to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
Requirements
- Hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
- Experience with advanced ML and DL technologies including language models.
- Experience in training language models or large computer vision models.
- Expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
- Experience with Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs.
- Experience with machine learning and NLP models.
- Experience with SQL.
Responsibilities
- 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), adapt and finetune 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 that serve 80+ million customers.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- Experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.
- Deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents.
Other
- Customer first mindset, with a passion to do the right thing for customers.
- Innovative and creative, with a willingness to research and evaluate emerging technologies.
- Leadership skills, with the ability to challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Excellent communication skills, with the ability to translate complex technical concepts into tangible business goals.
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
