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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 the Mission

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, we have 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 to bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

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 closely with product, technology, and business leaders to apply the state of the art in AI to our business, ensuring that our research translates into tangible business goals and next-generation customer experiences.

About 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. 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. You will engage in high-impact applied research to take the latest AI developments and push them into the next generation of customer experiences, flexing your interpersonal skills to translate complex technical work into clear value.

Our Culture

We are looking for individuals who love the process of analyzing and creating, but also share our passion to do the right thing. We value those who are innovative, continually researching and evaluating emerging technologies to stay current on state-of-the-art methods. We seek creative thinkers who thrive on bringing definition to big, undefined problems and are not afraid to share new ideas. As leaders, we expect you to challenge conventional thinking, work with stakeholders to improve the status quo, and be passionate about talent development for your own team and beyond.

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

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes 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 during the recruiting process, please contact Capital One Recruiting.

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Applied Researcher II

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$263k-327karrow_forward

Skills, education and keywords

Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vector DBS, 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.

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; Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms; Experience building large deep learning models; Experience delivering models at scale; and Experience delivering libraries, platform level code or solution level code.
Where is the Applied Researcher I role at Capital One located?
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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_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
  • verifiedHands-on experience developing AI foundation models using open-source tools and cloud computing platforms
  • verifiedExperience building large deep learning models
  • verifiedExperience delivering models at scale
  • verifiedExperience delivering libraries, platform level code or solution level code
  • verifiedTrack record of high quality ideas or publications in machine learning
  • verifiedAbility to own and pursue a research agenda
  • verifiedWork authorization sponsorship available

Nice to Have

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM focus on NLP or Masters with 5 years of industrial NLP research experience. Multiple publications on pre-training of large language models (e.g., technical reports, SSL techniques, optimization). Membership in a team that 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 focus on geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series). Multiple papers on training models on graph and sequential data structures at KDD, ICML, NeurIPs, or ICLR. Experience 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 open source frameworks (pytorch-geometric, DGL). Proposed new methods for inference or representation learning on graphs or sequences. Experience with datasets of 100m+ users. PhD focused on 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 guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Demonstrated knowledge 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_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
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; Vector DBS; 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; and Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience.
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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Vector DBS
Deep Learning
LLM
NLP