Principal Associate, Data Science - AI Foundations

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$161,800–$184,600 / yr
Posted
5 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $173k
$135k most similar roles pay here $246k

This role pays less than 55% of similar roles. Most pay $154,850–$235,562 — the shaded band above. At the midpoint, this role pays about $173k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Science - AI Foundations

As a Principal Associate in Data Science at the AI Foundations team, you will lead cutting-edge research and development in Generative AI to enhance conversational capabilities and build scalable digital assistant solutions. Day-to-day responsibilities include fine-tuning advanced Large Language Models for domain-specific applications, optimizing inference processes, and developing multi-agentic workflows. You will work closely with data scientists, engineers, and product managers using Python, AWS, Pyspark, LangChain, HuggingFace Transformers, and other tools to deliver innovative AI products that improve customer experience through real-time digital assistance. Ideal candidates are innovators who stay ahead of GenAI advancements, excel at solving complex problems, mentor teams, and have hands-on experience with NLP and LLM tuning in a cloud computing environment.

What you'll do

  • Lead research and development in Generative AI to enhance conversational AI capabilities.
  • Fine-tune Large Language Models for domain-specific applications and multi-agentic workflows.
  • Design, train, evaluate, and deploy state-of-the-art NLP models into production systems.
  • Translate complex AI/ML research into tangible business outcomes improving customer experience.
  • Mentor teams in the application of advanced AI technologies to real-world problems.

What we're looking for

  • Extensive experience in AI/ML research and development
  • Proficiency in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with cloud computing platforms like AWS and DevOps technologies
  • Expertise in fine-tuning LLMs for domain-specific conversational applications
  • Ability to lead cross-functional teams and drive innovation in conversational AI
  • Strong technical skills using Python, PySpark, LangChain, HuggingFace Transformers, etc.
  • Experience translating complex AI/ML research into practical business solutions

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