Applied Researcher 4 (AI Foundations, Graph and Behavioral Models)

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Capital One's AI Foundations team is seeking an Applied Researcher to build AI foundation models across language, graph, and behavioral data. The role spans the full research lifecycle, from design and training through evaluation, validation, and production deployment. You will partner with data scientists, engineers, and product leaders to translate cutting-edge AI research into customer-facing banking experiences.

• Build AI foundation models through design, training, evaluation, validation, and implementation
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, and Lightning on large-scale numeric and textual data
• Conduct high-impact applied research to advance next-generation customer experiences
• Collaborate with senior researchers on internal tech reports and conference submissions
• Translate complex research into tangible business goals with cross-functional partners

• Currently has or is obtaining a PhD in EE, Computer Engineering, CS, AI, Mathematics, or related field, or M.S. plus 2 years of applied research experience
• Hands-on experience developing AI foundation models with open-source tools and cloud platforms
• Deep understanding of AI methodology foundations
• Experience building large deep learning models on language, images, events, or graphs
• Track record of delivering models at scale in training data and inference volume
• Experience delivering libraries, platform-level, or solution-level code to existing products

• PhD focused on NLP or 5 years of industrial NLP research experience
• Publications on LLM pre-training, SSL techniques, or training optimization
• Experience training a 10B+ parameter LLM from scratch
• Publications at ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR
• Experience scaling graph models beyond 50M nodes
• Experience with large-scale deep learning recommender systems
• Contributions to open-source frameworks such as pytorch-geometric or DGL