below marketmost similar roles pay hereabove market
This role pays more than
64%
of similar roles. Most pay
$196,750–$246,150
— the blue band above.
At the midpoint, this role pays about
$234k
versus about
$221k
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
2276 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1147 roles with salary data.
The Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI) joins the AI Foundations team to develop trustworthy and reliable AI systems. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products that transform customer interactions with 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 numeric and textual data. The work focuses on solving business problems by applying state-of-the-art AI methodologies to create scalable, high-performance infrastructure.
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
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 an engineering mindset with a track record of delivering models at scale for training data and inference volumes.
Must have experience delivering libraries, platform-level code, or solution-level code to existing products.
Pytorch
AWS
Huggingface
Lightning
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Supervised Finetuning
Instruction-Tuning
Transfer Learning
Tokenization