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  1. Home
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  5. Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Capital One logo

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

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 in real time, 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 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 collaborate with product, technology, and business leaders to apply the state of the art in AI to our business, helping to reimagine how we serve the customers and businesses who have come to love our products and services.

About the Role

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. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data and build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

You will engage in high-impact applied research to take the latest AI developments and push them into the next generation of customer experiences. A key part of your success will be flexing your interpersonal skills to translate the complexity of your work into tangible business goals. We are looking for individuals who love the process of analyzing and creating, share a passion for doing the right thing, and are committed to making the right decisions for our customers.

Hiring Process

Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

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 will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.

If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

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Senior Lead AI Engineer (LLM Customization and Finetuning)

Capital One • New York, New York

Skills, education and keywords

Skills: Machine Learning, Ai, LLM, Finetuning, Reinforcement Learning, Pytorch, Aws, Huggingface, Lightning, Vectordb.

Education: 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.

Frequently asked questions about Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One

What does a Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One do?expand_more
In this Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One role, you will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; translate complex research concepts into tangible business goals; and leverage technologies like pytorch and aws to extract insights from large data volumes.
What are the requirements for this Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) role?expand_more
Capital One is looking for candidates who meet the following requirements: 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; LLM focus on NLP or Masters with 5 years of industrial NLP research experience; Experience building large deep learning models; Experience deploying a fine-tuned large language model; and Experience optimizing training for a 10B+ model.
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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 research concepts into tangible business goals
  • check_circleLeverage technologies like PyTorch and AWS to extract insights from large data volumes
  • 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
  • verifiedLLM focus on NLP or Masters with 5 years of industrial NLP research experience
  • verifiedExperience building large deep learning models
  • verifiedExperience deploying a fine-tuned large language model
  • verifiedExperience optimizing training for a 10B+ model
  • verifiedPublications in deep learning theory
  • verifiedPublications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR
  • verifiedExperience with compiler design
  • verifiedExperience with Pytorch, AWS, Huggingface, Lightning, VectorDBs
  • verifiedWork authorization sponsorship available

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). Membership on 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. Publications studying tokenization, data quality, dataset curation, or labeling. Contribution to a major open source corpus. Contribution to open source libraries for data quality, dataset curation, or labeling.

Benefits & Perks

check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
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, Mathematics, or related fields

Job Type

Full-Time

Skills Required

Machine LearningAiLLMFinetuningReinforcement LearningPytorch
$230k-286karrow_forward
Where is the Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) role at Capital One located?expand_more
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) 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 Customization, Finetuning, Reinforcement Learning) job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) role as on-site.
How much experience is required for this Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) role?expand_more
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) 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 Customization, Finetuning, Reinforcement Learning) role at Capital One?expand_more
Key skills for Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One include Machine Learning; Ai; LLM; Finetuning; Reinforcement Learning; Pytorch; Aws; and Huggingface.
What education is required for Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; and M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience.
What category does the Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) role belong to?expand_more
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) at Capital One is part of the it job category on Recrutus.
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Aws
Huggingface
Lightning
Vectordb