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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
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Listed pay typically runs
$197,300–$225,100
across 1147 roles with salary data.
JOB TITLE: Applied Researcher 5
The Applied Researcher 5 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 leading research threads that bridge prototype development with production deployment to solve complex business problems. You will utilize a technology stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to extract insights from large volumes of numeric and textual data. The role requires expertise in deep learning, training optimization, self-supervised learning, and robustness to push the latest AI developments into next-generation 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 next-generation customer experiences.
Leverage technologies like Pytorch, AWS Ultraclusters, and Huggingface to extract insights from large numeric and textual datasets.
Lead cross-functional research threads to bridge prototype model development with production deployment.
Deliver AI-powered products by partnering with data scientists, software engineers, and product managers.
Translate complex technical research into tangible business goals for stakeholders.
Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
What we're looking for
Currently pursuing or holds a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
Holds a PhD in a related field with 2 years of experience in Applied Research or an M.S. in a related field with 4 years of experience in Applied Research.
Possesses hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Demonstrates experience building large deep learning models for language, images, events, or graphs.
Exhibits expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Proven track record of delivering models at scale in terms of training data and inference volumes.
Experience delivering libraries, platform-level code, or solution-level code to existing products.
Track record of high-quality machine learning ideas or improvements, demonstrated by first-author publications or projects.
Pytorch
AWS
Huggingface
Lightning
VectorDBs
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Graph Neural Networks
Sequential Models
Multivariate Time Series
Supervised Finetuning
Instruction-Tuning
Transfer Learning
Tokenization
Pytorch
AWS
Huggingface
Lightning
VectorDBs
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Graph Neural Networks
Sequential Models
Multivariate Time Series
Supervised Finetuning
Instruction-Tuning
Transfer Learning
Tokenization
Pytorch
AWS
Huggingface
Lightning
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Supervised Finetuning
Instruction-Tuning
Transfer Learning