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  1. Home
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  5. Applied Researcher II
Capital One logo

Applied Researcher II

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 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 with product, technology, and business leaders to apply state-of-the-art AI to our business, delivering AI-powered products that transform how customers interact with their money.

About the Role

As an Applied Researcher II, 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 partner with a cross-functional team of data scientists, software engineers, and product managers to deliver solutions that reveal insights hidden within huge volumes of numeric and textual data.

In this role, you will build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. 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. You will own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-running projects.

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 consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws. We are committed to building a diverse and inclusive culture where talent development is a passion for our team and beyond.

Work location

Work model: On-site

location_on

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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 4 years experience; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields preferred.

Frequently asked questions about Applied Researcher II at Capital One

What does a Applied Researcher II at Capital One do?expand_more
Day-to-day, the Applied Researcher II 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 technical work into tangible business goals; and analyze numeric and textual data to reveal insights using pytorch and aws.
What are the requirements for this Applied Researcher II 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 plus 2 years of experience in Applied Research; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research; Experience building large deep learning models; Experience delivering libraries, platform level code or solution level code; Track record of first author publications or projects in machine learning; and Work authorization sponsorship eligibility.
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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_circleAnalyze numeric and textual data to reveal insights using PyTorch and AWS
  • check_circleConduct high-impact applied research to advance customer experiences

Requirements

  • verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
  • verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
  • verifiedExperience building large deep learning models
  • verifiedExperience delivering libraries, platform level code or solution level code
  • verifiedTrack record of first author publications or projects in machine learning
  • verifiedWork authorization sponsorship eligibility

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 containing 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_circleEligibility 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

2-4 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
Where is the Applied Researcher II role at Capital One located?
expand_more
Applied Researcher II 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 II job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher II role as on-site.
How much experience is required for this Applied Researcher II role?expand_more
Applied Researcher II at Capital One typically requires 2–4 years of relevant experience at the mid level level.
What skills do you need for the Applied Researcher II role at Capital One?expand_more
Key skills for Applied Researcher II at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vector DBS; and Deep Learning.
What education is required for Applied Researcher II 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 4 years experience; and PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields preferred.
What category does the Applied Researcher II role belong to?expand_more
Applied Researcher II at Capital One is part of the it job category on Recrutus.
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Vector DBS
Deep Learning
LLM
NLP