Applied Researcher II

6 days ago

New York, New York, United States Capital One Full time
About the Role

We are seeking a highly skilled Applied Researcher II to join our AI Foundations team at Capital One. As a key member of our team, you will be responsible for delivering AI-powered products that change how customers interact with their money.

Key Responsibilities
  • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products.
  • Leverage a broad stack of technologies, including PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs, to reveal insights hidden within huge volumes of numeric and textual data.
  • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Engage in high-impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
  • Translate the complexity of your work into tangible business goals.
Requirements
  • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or a related field.
  • At least 2 years of experience in Applied Research or 4 years of experience in Applied Research with a Master's degree.
  • Experience with open-source languages and a passion for developing further.
  • Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • Deep understanding of the foundations of AI methodologies.
  • Experience building large deep learning models, including training optimization, self-supervised learning, robustness, explainability, and RLHF.
  • Engineering mindset with a track record of delivering models at scale.
  • Experience delivering libraries, platform-level code, or solution-level code to existing products.
  • Professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning.
Preferred Qualifications
  • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or a related field.
  • Experience with NLP or industrial NLP research experience.
  • Publications on topics related to the pre-training of large language models.
  • Member of a team that has trained a large language model from scratch.
  • Publications in deep learning theory.
  • Publications at ACL, NAACL, and EMNLP, Neurips, ICML, or ICLR.
What We Offer

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more at the Capital One website.

This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

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