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Applied Researcher I

1 month ago

Cambridge, Massachusetts, United States Capital One Full time
Job Title: Applied Researcher I

Capital One is seeking a highly skilled Applied Researcher I to join our AI Foundations team. 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.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Requirements:
  • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields.
  • Experience with large deep learning models, including training optimization, self-supervised learning, robustness, explainability, and RLHF.
  • Experience with compiler design and/or deep learning algorithmic and/or optimizer design.
  • Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
Preferred Qualifications:
  • 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.
  • 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, and EMNLP, NeurIPS, ICML, or ICLR.
What We Offer:
  • Competitive salary range: $230,000 - $262,500 for New York City (Hybrid On-Site) and $243,700 - $278,100 for San Francisco, California (Hybrid On-site).
  • Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI).
  • A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.