At Capital One, creating trustworthy and reliable AI systems to change banking for good by applying machine learning to create real-time, intelligent, automated customer experiences.
Requirements
- Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
- Deep understanding of the foundations of AI methodologies.
- Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
- An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
- Experience in delivering libraries, platform level code or solution level code to existing products.
- PhD focus on NLP or Masters with 5 years of industrial NLP research experience
- Publications on topics related to the pre-training of large language models
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, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
- Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Other
- Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
- Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
- Innovative, creative, and a leader with a passion to do the right thing.
- Ability to translate the complexity of your work into tangible business goals.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
