Applied Researcher I

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
McLean, VACambridge, MASan Jose, CANew York, NY
Salary
$218,700–$249,600 / yr
Posted
162 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $234k
$163k most similar roles pay here $290k

This role pays more than 55% of similar roles. Most pay $190,150–$254,750 — the shaded band above. At the midpoint, this role pays about $234k versus about $222k 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 · Applied Researcher I

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) joins the AI Foundations team to develop trustworthy and reliable AI systems for banking applications. Working within a cross-functional team of data scientists and engineers, the researcher will build AI foundation models through every phase of development, including design, training, evaluation, validation, and implementation. The role involves uncovering insights from large volumes of numeric and textual data to improve customer experiences. Key technologies include Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. Candidates must possess expertise in deep learning models for language, images, events, or graphs, with specific knowledge in training optimization, self-supervised learning, robustness, explainability, and RLHF. The position focuses on the technical challenge of moving state-of-the-art AI research into production systems to solve complex problems regarding how customers interact with their money.

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 customer experience products.
  • Utilize a broad technology stack including PyTorch, Hugging Face, and VectorDBs to analyze large volumes of data.
  • Develop and optimize large deep learning models for language, images, events, or graphs.
  • Implement advanced techniques such as training optimization, self-supervised learning, and reinforcement learning from human feedback (RLHF).
  • Translate complex technical research into tangible business goals and solutions for stakeholders.
  • Research and evaluate emerging technologies to maintain a competitive edge in AI capabilities.
  • Deliver scalable production code, including libraries and platform-level components, for high-volume inference.

What we're looking for

  • Must have a PhD in a relevant field or an MS plus 2 years of experience in Applied Research.
  • 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.
  • Must have hands-on experience developing AI foundation models using open-source tools and cloud platforms.
  • Proven track record of delivering models at scale for both training data and inference volumes.
  • Experience delivering libraries, platform-level code, or solution-level code to existing products.
  • Ability to own a research agenda and independently carry out long-running projects.
  • Demonstrated ability to translate complex technical work into tangible business goals.

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