below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$192,050–$242,850
— the blue band above.
At the midpoint, this role pays about
$234k
versus about
$217k
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
2229 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1126 roles with salary data.
The Applied Researcher 4 (AI Foundations, Graph and Behavioral Models) joins the AI Foundations team to develop trustworthy and reliable AI systems. This role involves partnering with cross-functional teams to build AI-powered products that transform how customers interact with their money. 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 push the latest AI developments into production and translating complex technical work into tangible business goals. You will utilize a technology stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze large volumes of numeric and textual data. The work focuses on solving complex problems involving large deep learning models for language, images, events, and graphs.
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.
Translate complex technical research into tangible business goals for product and technology leaders.
Prepare internal technical reports or conference submissions summarizing novel methods and research findings.
Develop and deliver scalable libraries, platform-level code, or solution-level code for existing products.
Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
What we're looking for
Must have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
Must have an M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related 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 have 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 expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, or RLHF.
Must have a track record of delivering models at scale in terms of training data and inference volumes.
Must have experience delivering libraries, platform-level code, or solution-level code to existing products.