Principal Associate, Data Scientist - Llm Customization Team

Capital One

McLean, VA, United States
Base: $161,800 - $201,400 depending on location; b...
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Large language model (llm) expertise
Python, scala, or r programming
Machine learning and deep learning experience
** Capital One is seeking a Principal Associate, Data Scientist for its LLM Customization Team, focused on leveraging AI and machine learning to innovate financial services. The ideal candidate will possess strong technical skills in natural language processing, experience with large language models, and the ability to work collaboratively in a cross-functional environment. **

Job Summary

  • The role involves partnering with cross-functional teams to deliver AI-powered products that transform how customers interact with their money.
  • Candidates will leverage advanced technologies like PyTorch, Hugging Face, and AWS Ultraclusters to build scalable NLP models from design through production.
  • Capital One offers a competitive salary range, performance-based incentives, and comprehensive health and financial benefits.

Matching Summary

Match Score: 75

** Capital One is seeking a Principal Associate, Data Scientist for its LLM Customization Team, focused on leveraging AI and machine learning to innovate financial services. The ideal candidate will possess strong technical skills in natural language processing, experience with large language models, and the ability to work collaboratively in a cross-functional environment. **

Salary

Base: $161,800 - $201,400 depending on location; Bonus/Equity: Performance based incentive compensation eligible; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Large Language Model (LLM) expertise
  • Python, Scala, or R programming
  • Machine Learning and Deep Learning experience
  • AWS cloud computing platform usage
  • NLP model development and evaluation

Nice-to-have

  • Experience with PyTorch and Hugging Face
  • Knowledge of LangChain and VectorDBs
  • Background in RLHF and self-supervised learning
  • Ability to translate technical work to business goals
  • Track record of delivering models at scale

Key Requirements

  • Bachelor's degree plus 5 years data analytics experience
  • Master's degree plus 3 years data analytics experience
  • PhD in quantitative field
  • At least 1 year AWS experience
  • At least 3 years Python/Scala/R experience
  • Sponsorship available for employment authorization

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter