Senior Distinguished Applied Researcher, Capital One

• You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms
• Has a 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
• A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Ph.D. plus at least 6 years of experience in Applied Research or M.S. plus at least 8 years of experience in Applied Research
• Contributions to common open source frameworks (pytorch-geometric, DGL)

Desirable

• This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One
• As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader
• You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community
• 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

• Step 1: Apply
• Step 2: Screen and Schedule
• Step 3: Interview(s)
• Step 4: Decision