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  1. Home
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  5. Applied Researcher I
Capital One logo

Applied Researcher I

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 Capital One and Our 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 are bringing 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 AI Foundations 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.

The Role

As an Applied Researcher I, 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. Your work will involve building AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

In this role, you will engage in high-impact applied research to take the latest AI developments and push them into the next generation of customer experiences. You will flex your interpersonal skills to translate the complexity of your work into tangible business goals, ensuring that every decision made is the right one 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 and 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. We are committed to providing reasonable accommodations for candidates with disabilities or religious beliefs. If you require an accommodation to apply, please contact Capital One Recruiting.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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 I (AI Foundations, LLM Core and Agentic AI)

Skills, education and keywords

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

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

Frequently asked questions about Applied Researcher I at Capital One

What does a Applied Researcher I at Capital One do?expand_more
In this Applied Researcher I 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 technical work 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 role?expand_more
To qualify for the Applied Researcher I 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; Experience building large deep learning models; Experience with Pytorch, AWS, Huggingface, Lightning, VectorDBs; First author publications or high quality machine learning projects; and Experience delivering models at scale.
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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 technical work into tangible business goals
  • check_circleLeverage technologies like PyTorch and AWS to extract insights from large data volumes
  • 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
  • verifiedExperience building large deep learning models
  • verifiedExperience with Pytorch, AWS, Huggingface, Lightning, VectorDBs
  • verifiedFirst author publications or high quality machine learning projects
  • verifiedExperience delivering models at scale
  • verifiedExperience delivering libraries, platform level code, or solution level code
  • verifiedPhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
  • verifiedLLM focus on NLP or Masters with 5 years of industrial NLP research experience
  • verifiedMultiple publications on pre-training of large language models
  • verifiedMember of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
  • verifiedPublications in deep learning theory
  • verifiedPublications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR
  • verifiedPhD focused on optimizing training of very large deep learning models
  • verifiedMultiple years of experience and/or publications on Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression

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, Mathematics, or related fields required

Job Type

Full-Time

Skills Required

Machine LearningAiPytorchAwsHuggingfaceLightning

Capital One • New York, New York

$219k-272karrow_forward
Where is the Applied Researcher I role at Capital One located?
expand_more
Applied Researcher I 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 job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I role as on-site.
How much experience is required for this Applied Researcher I role?expand_more
Applied Researcher I 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 role at Capital One?expand_more
Key skills for Applied Researcher I at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Applied Researcher I at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields required; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience; and PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields preferred.
What category does the Applied Researcher I role belong to?expand_more
Applied Researcher I at Capital One is part of the it job category on Recrutus.
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Vectordbs
Deep Learning
LLM
NLP