Manager, Data Science - GenAI Digital Assistant

Capital One Financial

Quick summary

Work type
On-site
Location
San Jose, CA · New York, NY · McLean, VA
Salary
$197,300–$225,100 / yr
Posted
43 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $211k
$133k most similar roles pay here $235k

This role pays more than 70% of similar roles. Most pay $162,000–$214,500 — the shaded band above. At the midpoint, this role pays about $211k versus about $188k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 791 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Science - GenAI Digital Assistant

As a Manager of Data Science on the GenAI Digital Assistant team within AI Foundations, you will lead cutting-edge research and development to enhance conversational AI capabilities by fine-tuning advanced Large Language Models (LLMs) for domain-specific applications. Your day-to-day responsibilities include collaborating with data scientists, software engineers, and product managers to deliver innovative AI-powered products that transform developer workflows. You will leverage Python, AWS, Pyspark, LangChain, HuggingFace Transformers, and other technologies to design, train, evaluate, and deploy state-of-the-art NLP models into scalable production systems. This role requires expertise in Natural Language Processing (NLP), proficiency with cloud computing platforms like AWS, and hands-on experience in LLM model training and inference optimization on GPU clusters.

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 LLMs to real-world problems.

What we're looking for

  • PhD in Computer Engineering with at least 3 years of relevant AI/ML research and development experience.
  • Expertise in developing and fine-tuning Large Language Models for domain-specific conversational applications.
  • Extensive hands-on experience in LLM training, evaluation, and optimization on GPU clusters using AWS or equivalent platforms.
  • Proficiency in PyTorch/TensorFlow and a broad stack of technologies including Python, Pyspark, LangChain, HuggingFace Transformers.
  • Strong leadership skills to mentor teams and drive innovation in conversational AI solutions.

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