Applied Researcher 4

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VACambridge, MASan Jose, CANew York, NY
Salary
$218,700–$249,600 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $234k
$185k $257k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $192,050–$211,200 — the blue band above. At the midpoint, this role pays about $234k versus about $202k 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 · Applied Researcher 4

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The Applied Researcher 4 joins the AI Foundations team to develop trustworthy and reliable AI systems for banking. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products. You will build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. Key responsibilities include conducting high-impact applied research to translate complex AI developments into tangible business goals and preparing internal tech reports or conference submissions. You will utilize a broad technology stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze large volumes of numeric and textual data. The work focuses on solving technical problems related to training optimization, self-supervised learning, robustness, explainability, and RLHF for large deep learning models.

Skills

Pytorch AWS Huggingface Lightning Deep Learning Graph Neural Networks RLHF Self-Supervised Learning Training Optimization Representation Learning

What you'll do

  • Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
  • Leverage technologies like PyTorch, AWS Ultraclusters, and Huggingface to extract insights from large numeric and textual datasets.
  • Conduct high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
  • Deliver AI-powered products by partnering with cross-functional teams of data scientists, software engineers, and product managers.
  • Translate complex technical research into tangible business goals for stakeholders.
  • Prepare internal tech reports or conference submissions summarizing novel methods and research findings.
  • Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
  • Develop libraries, platform-level code, or solution-level code for existing products at scale.

What we're looking for

  • Currently has, or is in the process of obtaining, a PhD in a relevant field by the start date.
  • Possess an M.S. in a relevant field plus 2 years of experience in Applied Research.
  • Have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • Possess a deep understanding of the foundations of AI methodologies.
  • Have experience building large deep learning models for language, images, events, or graphs.
  • Possess expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
  • Have a track record of delivering models at scale in terms of training data and inference volumes.
  • Have experience delivering libraries, platform-level code, or solution-level code to existing products.

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