Applied Researcher I at Capital One - ScoutJobs - The AI-curated global job board
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Capital One
Posted a day ago

Applied Researcher I

Capital OneApplied Researcher I

Perks & benefits

Health InsuranceMedical InsuranceFamily Medical Insurance

Requirements

PhD in CS, AI, Math, or related field, Experience with large deep learning models, Hands-on experience with AI foundation models, Proficiency in open-source languages, Experience with cloud computing platforms

Skills

PyTorchAWSMachine LearningDeep Learning

About the role

Responsibilities

  • Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products.
  • Build AI foundation models through all development phases, including design, training, evaluation, validation, and implementation.
  • Leverage a broad technology stack including PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs.
  • Engage in high-impact applied research to translate the latest AI developments into next-generation customer experiences.
  • Translate complex technical research into tangible business goals and actionable insights.

Requirements

  • PhD in Computer Science, AI, Mathematics, Electrical Engineering, Computer Engineering, or a related field (or an M.S. with 2+ years of relevant applied research experience).
  • Hands-on experience developing AI foundation models and solutions using open-source tools.
  • Experience building large deep learning models (language, images, events, or graphs).
  • Proficiency in open-source programming languages.
  • Experience with cloud computing platforms.
  • Strong understanding of AI methodologies such as training optimization, self-supervised learning, robustness, explainability, or RLHF.

Preferred Qualifications

  • Experience with Large Language Models (LLMs) and NLP research.
  • Expertise in geometric deep learning, including Graph Neural Networks or Sequential Models.
  • Specialized knowledge in optimization techniques like model sparsification, quantization, or training parallelism.
  • Experience with fine-tuning techniques such as Supervised Fine-Tuning (SFT) or Instruction-Tuning.
  • A track record of high-quality research, such as first-author publications in venues like NeurIPS, ICML, ICLR, or ACL.

About the Company

Capital One is a leading financial institution committed to using machine learning to create real-time, intelligent, and automated customer experiences. Our AI Foundations team works at the intersection of academia and production, building scalable, high-performance AI infrastructure to reimagine the future of banking.

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Applied Researcher I

Capital One Β· New York

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