Sr. Distinguished Applied Researcher

Capital One • San Jose, CA

82d • $311,900 - $427,200

About The Position

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

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.
• 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.
• Expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
• 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.
• Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.

Nice To Haves

• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
• LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience.
• Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens).
• Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models.
• Demonstrated ability to guide the technical direction of a large-scale model training team.
• Experience working with 500+ node clusters of GPUs.
• Experience with common training optimization frameworks (deep speed, nemo).

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.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

What This Job Offers

• Career Level: Senior