Director, Data Scientist, Generative AI Systems

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $269,100–$307,200 / yr
Employment: Full-time
Posted: 60 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $239k

This role $288k

$170k $322k

below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $200,687–$278,000 — the blue band above. At the midpoint, this role pays about $288k versus about $239k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Director, Data Scientist, Generative AI Systems

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Director, Data Scientist - Generative AI Systems leads a seasoned group of natural language processing, speech, and computer vision specialists within the Generative AI Systems team. This role involves partnering with cross-functional teams to build and operationalize AI-powered products, including solutions for dialogue, text summarization, reading comprehension, speech recognition, and image processing. You will be responsible for designing, training, evaluating, and validating machine learning models to serve millions of customers. The position requires expertise in Natural Language Processing to adapt and finetune Large Language Models for customer-facing applications. Key technologies include Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, and VectorDBs. The work focuses on solving complex business problems by extracting insights from massive volumes of numeric and textual data to improve financial interactions.

Skills

Generative AI NLP LLMs Machine Learning Python Pytorch Hugging Face LangChain Lightning AWS VectorDBs Scala R Relational Databases Computer Vision Speech Recognition

What you'll do

Lead a team of specialists in natural language processing, speech, and computer vision.
Develop and fine-tune Large Language Models (LLMs) for customer-facing applications and features.
Build machine learning models through all phases of development, including design, training, evaluation, and validation.
Partner with engineering teams to operationalize models into scalable and resilient production systems.
Utilize a technology stack including Pytorch, AWS Ultraclusters, Hugging Face, LangChain, and VectorDBs.
Translate complex technical work into tangible business goals for stakeholders.
Contribute research to major NLP and AI/ML conferences.

What we're looking for

Must have a Bachelor's in a quantitative field plus 9 years of data analytics experience, a Master's plus 7 years, or a PhD plus 4 years.
Must have at least 4 years of experience leveraging open source programming languages for large scale data analysis.
Must have at least 4 years of experience working with machine learning.
Must have at least 4 years of experience utilizing relational databases.
Must have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
PhD in a STEM field plus 5 years of experience in data analytics (preferred).
At least 1 year of experience working with AWS (preferred).
At least 3 years of experience managing people (preferred).
At least 5 years of experience in Python, Scala, or R for large scale data analysis (preferred).
At least 5 years of experience with machine learning (preferred).

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