below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$193,935–$254,750.
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.
The Applied Researcher I (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 build AI-powered products and foundation models through all development phases, including design, training, evaluation, and implementation. You will perform high-impact applied research to translate complex AI developments into tangible business goals. Key technologies include Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. The work focuses on revealing insights within large volumes of numeric and textual data, specifically addressing the technical challenges of training large deep learning models, training optimization, self-supervised learning, robustness, explainability, and RLHF to improve customer experiences.
Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
Conduct high-impact applied research to integrate the latest AI developments into customer experiences.
Use Pytorch, AWS Ultraclusters, Huggingface, and VectorDBs to extract insights from large numeric and textual datasets.
Deliver AI-powered products by partnering with data scientists, software engineers, and product managers.
Own and pursue a research agenda by identifying impactful problems and carrying out long-running projects.
Develop and deliver libraries, platform-level code, or solution-level code for existing products.
Optimize large deep learning models for training and inference 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 experience building large deep learning models for language, images, events, or graphs.
Must have expertise in 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.
Must have a track record of high-quality machine learning ideas or improvements, such as first-author publications or projects.
Pytorch
AWS
Huggingface
Lightning
VectorDBs
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Supervised Finetuning
Instruction-Tuning
Transfer Learning