Senior Associate, Data Scientist - Nlp

Capital One

McLean, VA, US
Base: $123,300 - $168,900 depending on location; b...
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Natural language processing (nlp) expertise
Large language models (llms) adaptation
Pytorch and hugging face experience
** Capital One is seeking a Senior Associate Data Scientist specializing in Natural Language Processing (NLP) to join their innovative AI Foundations Specialist Models Data Science team. The ideal candidate will have experience with machine learning and NLP technologies, and be passionate about creating customer-centric AI solutions. **

Job Summary

  • The role involves building state-of-the-art scalable architecture and AI/ML solutions for Capital One's award-winning mobile app.
  • You will leverage technologies like Pytorch, AWS Ultraclusters, and LangChain to harness the power of Large Language Models for customer-facing features.
  • Capital One offers a comprehensive benefits package including health, financial support, and performance-based incentive compensation.

Matching Summary

Match Score: 75

** Capital One is seeking a Senior Associate Data Scientist specializing in Natural Language Processing (NLP) to join their innovative AI Foundations Specialist Models Data Science team. The ideal candidate will have experience with machine learning and NLP technologies, and be passionate about creating customer-centric AI solutions. **

Salary

Base: $123,300 - $168,900 depending on location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Natural Language Processing (NLP) expertise
  • Large Language Models (LLMs) adaptation
  • Pytorch and Hugging Face experience
  • AWS cloud computing platforms
  • Python programming language

Nice-to-have

  • Customer-first mindset and passion
  • Cross-functional team leadership
  • Experience with RLHF and self-supervised learning
  • Ability to translate complex work to business goals
  • Innovative research on emerging technologies

Key Requirements

  • Bachelor's or Master's degree in quantitative field
  • At least 2 years of data analytics experience
  • Minimum 2 years experience with machine learning
  • Minimum 2 years experience with SQL
  • Hands-on experience delivering models at scale

Work Rights

Not specified

Sponsorship: available

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