Manager, Data Science - GenAI Digital Assistant

Capital One Financial

Quick summary

Work type
On-site
Location
San Jose, CANew York, NYMcLean, VA
Salary
$197,300–$225,100 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $211k
$143k most similar roles pay here $234k

This role pays more than 69% of similar roles. Most pay $162,000–$224,062 — the shaded band above. At the midpoint, this role pays about $211k versus about $193k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 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 research and development to enhance conversational AI capabilities by fine-tuning advanced Large Language Models for domain-specific applications. Your day-to-day responsibilities include collaborating with data scientists, engineers, and product managers to deliver cutting-edge AI solutions that improve developer workflows and customer experiences through real-time digital assistance. You will leverage Python, AWS, Pyspark, LangChain, HuggingFace Transformers, and other technologies to design, train, evaluate, and deploy state-of-the-art NLP models in scalable production systems. Ideal candidates are innovative leaders with hands-on experience in AI/ML development, cloud computing platforms, and DevOps, capable of translating complex research into practical business outcomes while mentoring teams to achieve excellence in conversational AI innovation.

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 optimize inference.
  • Design, train, evaluate, and deploy state-of-the-art NLP models into production systems.
  • Collaborate with cross-functional teams to integrate advanced AI/ML technologies.
  • Translate complex AI research into tangible business outcomes improving customer experience.
  • Mentor teams in conversational AI innovation and challenge conventional thinking.

What we're looking for

  • PhD in Computer Engineering with 3+ years of relevant AI/ML research and development experience.
  • Expertise in developing GenAI applications, including LLM training and optimization on GPU clusters.
  • Proficiency in AWS or equivalent cloud computing platforms for AI/ML workloads.
  • Hands-on experience with PyTorch/TensorFlow and other open-source AI tools.
  • Strong background in NLP model tuning and deployment in production systems.

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