Applied Researcher II

About the role

The AI Foundations team at Capital One is central to bringing our vision for AI at Capital One to life. Our work spans the entire research lifecycle, from collaborating with academia to building production systems. We collaborate with product, technology, and business leaders to apply the latest advancements in AI to our business. In this role, 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 transform how customers interact with their money.
• Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more—to uncover insights hidden within vast amounts of numeric and textual data.
• Build AI foundation models throughout the development process, from design through training, evaluation, validation, and implementation.
• Engage in high-impact applied research to advance the next generation of customer experiences by pushing the boundaries of AI.
• Use your interpersonal skills to define complex problems into tangible business goals.

Responsibilities

You will partner with a cross-functional team to deliver AI-powered products that transform how customers interact with their money. You will leverage a broad stack of technologies to uncover insights hidden within vast amounts of numeric and textual data. You will build AI foundation models throughout the development process, from design through training, evaluation, validation, and implementation. You will engage in high-impact applied research to advance the next generation of customer experiences by pushing the boundaries of AI. You will use your interpersonal skills to define complex problems into tangible business goals.

Requirements

The ideal candidate loves the process of analyzing and creating, but shares our passion to do the right thing. They are innovative, creative, a leader, and technically proficient. They have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or a Master's degree with 5 years of industrial NLP research experience. They have a deep understanding of the foundations of AI methodologies and experience building large deep learning models. They have a track record of delivering models at scale and expertise in one or more of the following areas: training optimization, self-supervised learning, robustness, explainability, RLHF. They have a deep understanding of the foundations of AI methodologies and experience building large deep learning models. They have a track record of delivering models at scale and expertise in one or more of the following areas: training optimization, self-supervised learning, robustness, explainability, RLHF.

Qualifications

• Currently has, or is in the process of obtaining, 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 plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
• Preferred qualifications based on focus of role

Skills

Innovative, creative, a leader, and technically proficient. Knowledgeable in the foundations of AI methodologies and experience building large deep learning models. Expertise in one or more of the following areas: training optimization, self-supervised learning, robustness, explainability, RLHF. Experience in delivering libraries, platform level code or solution level code to existing products. Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Knowledge of the foundations of AI methodologies and experience building large deep learning models. Expertise in one or more of the following areas: training optimization, self-supervised learning, robustness, explainability, RLHF. Experience in delivering libraries, platform level code or solution level code to existing products. Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

Pay

Salaries for this role range from $262,500 - $299,600 for Applied Researcher II in McLean, VA, $286,400 - $326,800 for Applied Researcher II in New York, NY, $262,500 - $299,600 for Applied Researcher II in Cambridge, MA, $286,400 - $326,800 for Applied Researcher II in San Francisco, CA, and $286,400 - $326,800 for Applied Researcher II in San Jose, CA. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Schedule

This role is expected to accept applications for a minimum of 5 business days. No agencies please.