Senior Director, Applied Research

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
San Francisco, CAMcLean, VACambridge, MASan Jose, CARichmond, VA
Salary
$318,100–$363,100 / yr
Posted
46 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $245k
This role $341k
$171k most similar roles pay here $384k

This role pays more than 94% of similar roles. Most pay $208,042–$281,050 — the shaded band above. At the midpoint, this role pays about $341k versus about $245k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Director, Applied Research

Senior Director, Applied Research joins the AI Foundations team to lead a group of applied scientists in developing advanced machine learning systems. This leadership role involves managing teams to drive strategic direction through collaboration with engineering and product leaders while representing the company within the broader research community. The successful candidate will build AI foundation models across all development phases, including design, training, evaluation, and implementation. They will work with cross-functional teams to deliver products that transform how customers interact with their money by extracting insights from massive volumes of numeric and textual data. Key technologies include Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. The role focuses on high-impact applied research, translating complex technical advancements into tangible business goals while solving problems related to large-scale deep learning models for language, images, events, or graphs.

What you'll do

  • Lead and mentor a team of applied scientists while managing their professional development.
  • Build AI foundation models through all phases including design, training, evaluation, validation, and implementation.
  • Partner with cross-functional teams of engineers and product managers to deliver AI-powered products.
  • Conduct high-impact research to integrate the latest AI developments into customer experiences.
  • Utilize a broad technology stack including PyTorch, Hugging Face, and VectorDBs to analyze large datasets.
  • Translate complex technical research into tangible business goals for stakeholders.
  • Represent the company as an external leader within the academic and professional research community.

What we're looking for

  • A PhD in Engineering, Computer Science, AI, or Mathematics with 6 years of experience is required.
  • An MS in Engineering, Computer Science, AI, or Mathematics with 8 years of experience is required.
  • At least 5 years of people leadership experience is required.
  • Candidates must have hands-on experience developing AI foundation models and solutions using open-source tools and cloud platforms.
  • Experience building large deep learning models for language, images, events, or graphs is required.
  • Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF is required.
  • Candidates must demonstrate a track record of innovation in machine learning through first-author publications or major projects.
  • Experience delivering production-level code, libraries, or platform-level code to existing products is required.

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