Capital One is looking to solve the problem of individually personalizing every credit card offer using statistical modeling and relational databases, and is seeking a Senior Manager, Data Science - AI Foundations to lead the next wave of disruption in data-driven decision-making.
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 as well as have 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.
- At least 2 years of experience leveraging open source programming languages for large scale data analysis.
- At least 2 years of experience working with machine learning.
- At least 2 years of experience utilizing relational databases.
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 track record of delivering models at scale both in training data and inference volumes.
- 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 communicate clearly and effectively to share findings with non-technical audiences.
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
