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  1. Home
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  5. Applied Researcher I (AI Foundations, LLM Core and Agentic AI)
Capital One logo

Applied Researcher I (AI Foundations, LLM Core and Agentic AI)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Mission

At Capital One, we are creating trustworthy and reliable AI systems to change banking for good. For years, we have led the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions instantly, our applications of AI & ML bring humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams to continue our industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

About the Team

The AI Foundations team sits 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 collaborate closely with product, technology, and business leaders to apply the state of the art in AI to our business, ensuring that the transformative power of emerging AI capabilities reimagines how we serve our customers and the businesses that rely on our products.

About the Role

As an Applied Researcher, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI-powered products that change how customers interact with their money. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, building AI foundation models through all phases of development from design through training, evaluation, validation, and implementation.

This role is for those who love the process of analyzing and creating, sharing a passion to do the right thing by making the best decisions for our customers. You will engage in high-impact applied research to push the latest AI developments into the next generation of customer experiences. Success in this role requires an engineering mindset with a track record of delivering models at scale, as well as the ability to flex interpersonal skills to translate the complexity of your work into tangible business goals.

Hiring Process

Capital One is committed to a fair and transparent hiring process. We consider qualified applicants regardless of background. For specific details on the interview stages and timeline, please refer to the application portal or contact our recruiting team.

Equal Opportunity & Culture

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws. We also offer accommodations for candidates who require them during the recruiting process; please contact Capital One Recruiting for assistance.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Similar Job Opportunities

Capital One logo

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Capital One • New York, New York

$263k-327karrow_forward
Capital One logo

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Capital One • New York, New York

$263k-327karrow_forward
Capital One logo

Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Skills, education and keywords

Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vectordbs, Deep Learning, NLP, LLM.

Education: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics required; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics with 2 years experience; PhD in Computer Science, Machine Learning, Computer Engineering, or Applied Mathematics preferred.

Frequently asked questions about Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One

What does a Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One do?expand_more
Day-to-day, the Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; translate complex ai work into tangible business goals; and analyze numeric and textual data to reveal hidden insights.
What are the requirements for this Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role?expand_more
To qualify for the Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One position, applicants should have: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research; 5 years of industrial NLP research experience (for LLM track); Experience training a large language model from scratch (10B+ parameters, 500B+ tokens); Publications in deep learning theory; and Publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR.
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Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circlePartner with cross-functional teams to deliver AI-powered products
  • check_circleBuild AI foundation models through design, training, evaluation, and implementation
  • check_circleTranslate complex AI work into tangible business goals
  • check_circleAnalyze numeric and textual data to reveal hidden insights
  • check_circleOwn and pursue a research agenda including problem selection and project execution
  • check_circleConduct high-impact applied research to advance customer experiences

Requirements

  • verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
  • verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
  • verified5 years of industrial NLP research experience (for LLM track)
  • verifiedExperience training a large language model from scratch (10B+ parameters, 500B+ tokens)
  • verifiedPublications in deep learning theory
  • verifiedPublications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR
  • verifiedExperience optimizing training for a 10B+ model
  • verifiedExperience deploying a fine-tuned large language model
  • verifiedWork authorization sponsorship eligibility

Nice to Have

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. PhD focus on NLP or Masters with 5 years of industrial NLP research experience. Multiple publications on topics related to the pre-training of large language models (e.g., technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization). Member of a team that has trained a large language model from scratch (10B+ parameters, 500B+ tokens). Publications in deep learning theory. Publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR. PhD focused on topics related to optimizing training of very large deep learning models. Multiple years of experience and/or publications on Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, or Model Compression. Experience optimizing training for a 10B+ model. Deep knowledge of deep learning algorithmic and/or optimizer design. Experience with compiler design. PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Demonstrated knowledge of principles of transfer learning, model adaptation, and model guidance. Experience deploying a fine-tuned large language model.

Benefits & Perks

check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentivescheck_circleComprehensive, competitive, and inclusive set of health, financial, and other benefits
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

2+ yrs (Mid Level)

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics required

Job Type

Full-Time

Skills Required

Machine LearningAiPytorchAwsHuggingfaceLightning

Capital One • New York, New York

$263k-327karrow_forward
Where is the Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role at Capital One located?expand_more
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Applied Researcher I (AI Foundations, LLM Core and Agentic AI) job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role as on-site.
How much experience is required for this Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role?expand_more
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One typically requires 2+ years of relevant experience at the mid level level.
What skills do you need for the Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role at Capital One?expand_more
Key skills for Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics required; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics with 2 years experience; and PhD in Computer Science, Machine Learning, Computer Engineering, or Applied Mathematics preferred.
What category does the Applied Researcher I (AI Foundations, LLM Core and Agentic AI) role belong to?expand_more
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) at Capital One is part of the it job category on Recrutus.
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Vectordbs
Deep Learning
NLP
LLM