Advanced AI Research Scientist

Join Capital One as an Advanced AI Research Scientist and dive into the exciting world of AI and machine learning. In this role, you will develop and implement cutting-edge AI models aimed at revolutionizing customer banking experiences. You will work closely with dynamic, cross-functional teams to create scalable AI foundation models, and engage in impactful applied research that aligns advanced AI techniques with our business goals.

Overview

At Capital One, we are committed to crafting trustworthy and effective AI systems that transform banking for the better. Our team has been a pioneer in leveraging machine learning for real-time, intuitive, and automated customer interactions. Whether it's alerting customers about unusual transactions or providing immediate answers to their inquiries, our innovative applications of AI and ML are designed to enhance the simplicity and humanity of banking.

Team Description

The AI Foundations team plays a central role in actualizing Capital One's AI vision. Our endeavors encompass the full research lifecycle, from partnerships with top academic institutions to building robust production systems. We collaborate with product, technology, and business leaders to apply the latest advancements in AI across our operations.

In this role, you will

• Collaborate with a talented team of data scientists, software engineers, machine learning engineers, and product managers to create AI-driven experiences that redefine customer engagement with their finances.
• Utilize a diverse tech stack including Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more to uncover insights from extensive volumes of numerical and textual data.
• Develop AI foundation models through every phase of their lifecycle: design, training, evaluation, validation, and implementation.
• Participate in high-impact applied research to harness the latest in AI developments, contributing to the advancement of customer experiences.
• Use your interpersonal skills to clearly articulate the complexities of your work into actionable business strategies.

The Ideal Candidate

• A visionary who not only enjoys the analytical and creative processes but also prioritizes making the right choices for our customers.
• Innovative and proactive, continuously exploring and evaluating new technologies—staying abreast of cutting-edge methods and looking for ways to implement them.
• Creative problem solver, eager to tackle undefined challenges and unafraid to share novel ideas.
• A natural leader who challenges conventional wisdom and partners with stakeholders to enhance the status quo.
• Technically proficient with open-source programming languages, passionate about building AI models and solutions utilizing these technologies alongside cloud platforms.
• Possesses a profound understanding of AI methodologies.
• Demonstrates experience in constructing large deep learning models across different domains (language, images, events, or graphs) with expertise in areas such as training optimization, self-supervised learning, robustness, and explainability.
• Holds an engineering mindset with a proven record of delivering scalable models in terms of both training data and inference loads.
• Experienced in contributing to libraries or platform-level code within existing products.
• Proven track record of innovation in machine learning, evidenced by substantial publications or notable projects.
• Able to independently lead and execute a research agenda, identifying impactful problems and engaging in long-term projects.

Basic Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or an M.S. in a related field with relevant experience.

Preferred Qualifications

• PhD focused on NLP or equivalent experience with a strong publication record in large language models.
• Experience with large model training and optimization with publications in leading AI conferences.
• Deep understanding of optimization techniques for training and inference of large deep learning models.

This position offers a competitive salary and potential performance-based incentives. At Capital One, we also offer a comprehensive benefits package that promotes your overall well-being. We are an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws.

This role will remain open for applications for a minimum of 5 business days. Capital One supports a drug-free workplace and considers qualified applicants with a criminal history in accordance with applicable laws.

Location for the role includes Cambridge, MA; McLean, VA; New York, NY; San Francisco, CA; and San Jose, CA.