Applied Researcher IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CAMcLean, VACambridge, MANew York, NY
Salary
$218,700–$249,600 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $234k
$174k most similar roles pay here $273k

This role pays more than 55% of similar roles. Most pay $193,935–$254,750 — the shaded band above. At the midpoint, this role pays about $234k versus about $224k 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 878 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 872 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher IV

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI) joins the AI Foundations team to develop trustworthy and reliable AI systems for banking applications. This role involves collaborating with cross-functional teams of data scientists and engineers to build AI foundation models through every phase of development, including design, training, evaluation, validation, and implementation. The researcher will translate complex technical work into tangible business goals while preparing internal reports or conference submissions on novel findings. Key technologies include Pytorch, AWS Ultraclusters, Huggingface, and Lightning. Candidates must possess expertise in large deep learning models involving language, images, events, or graphs, with specific skills in training optimization, self-supervised learning, robustness, explainability, and RLHF. The role focuses on solving the challenge of extracting insights from massive volumes of numeric and textual data to improve customer experiences.

What you'll do

  • Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
  • Conduct high-impact applied research to integrate state-of-the-art AI developments into next-generation customer experiences.
  • Develop production-ready AI systems using tools like PyTorch, Hugging Face, and AWS infrastructure.
  • Analyze large volumes of numeric and textual data to uncover actionable insights for business products.
  • Translate complex technical research into tangible business goals for cross-functional stakeholders.
  • Prepare internal technical reports or conference submissions summarizing novel methods and findings.
  • Identify and solve complex, undefined problems by researching and evaluating emerging technologies.
  • Own and execute a research agenda by selecting impactful problems and managing long-running projects autonomously.

What we're looking for

  • Must have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
  • Alternatively, must have an M.S. in a relevant technical field plus 2 years of experience in Applied Research.
  • Must have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • Must possess a deep understanding of the foundations of AI methodologies.
  • Must have experience building large deep learning models for language, images, events, or graphs.
  • Must have an engineering mindset with a track record of delivering models at scale for training and inference.
  • Must be able to own and pursue a research agenda, including selecting problems and autonomously carrying out long-running projects.
  • Experience in producing high-quality ideas or improvements in machine learning, such as first author publications (preferred).

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