Capital One
AppliedResearcherII,AIFoundations
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Researcher II, AI Foundations at Capital One. Skills: AI Foundations, Machine Learning, Deep Learning, Applied Research. Partner with cross-functional teams. Deliver AI-powered products”
Industry & Context.
Analyzing; Creating; Asking questions; Finding answers
What They're Looking For.
Must Have
PhD in EE, CE, CS, AI, Maths or related fields, 2 years of experience in Applied Research, MS in EE, CE, CS, AI, Maths or related fields, 4 years of experience in Applied Research
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, LLM, PhD focus on NLP, Masters with 5 years of industrial NLP research experience, Multiple publications on pre-training of large language models, Member of team that has trained a large language model from scratch, Publications in deep learning theory, Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, Behavioral Models, PhD focus on geometric deep learning, Multiple papers on graph and sequential data structures, Worked on scaling graph models to greater than 50m nodes, Experience with large scale deep learning based recommender systems, Experience with production real-time and streaming environments, Contributions to common open source frameworks, Proposed new methods for inference or representation learning on graphs or sequences, Worked datasets with 100m+ users, PhD focused on optimizing training of very large deep learning models, Multiple years of experience and/or publications on optimizing training of very large deep learning models
What You'll Do.
Partner with cross-functional teams
Deliver AI-powered products
Leverage technologies to reveal insights
Build AI foundation models
Design AI foundation models
Train AI foundation models
Evaluate AI foundation models
Validate AI foundation models
Implement AI foundation models
Engage in applied research
Push AI developments into customer experiences
Translate complexity into business goals
How You'll Work.
Team & Collaboration
Cross-functional team; Data scientists; Software engineers; Machine learning engineers; Product managers; Academia; Product leaders; Technology leaders; Business leaders; Stakeholders
Communication Scope
Translate complexity
Full Job Description
Applied Researcher II, AI Foundations Overview: 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art 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 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
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