Description
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems.
As a Sr. Staff Applied Researcher, 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.
Responsibilities:
- Leverage a broad stack of technologies , Pytorch, AWS Ultraclusters, Huggingface, Lightning, 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.
- Define and evolve the company’s long-term research agenda - identifying emergent scientific opportunities and steering foundational investments in AI innovation.
Requirements:
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research.
- 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.
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.