below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$196,388–$241,906
— the blue band above.
At the midpoint, this role pays about
$375k
versus about
$219k
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
1891 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1020 roles with salary data.
The Sr. Staff Applied Researcher joins the AI Foundations team to drive the strategic direction of the company’s artificial intelligence research. As an individual contributor leader, you will mentor applied scientists and collaborate with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products. Your daily responsibilities include building AI foundation models through design, training, evaluation, and implementation while identifying emergent scientific opportunities. You will utilize a technical stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to extract insights from massive numeric and textual datasets. The role focuses on pushing state-of-the-art AI developments into production to improve customer experiences, specifically addressing the technical challenges of training large deep learning models, training optimization, self-supervised learning, and model robustness.
Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
Partner with cross-functional teams to deliver AI-powered products for customer banking experiences.
Leverage technologies like PyTorch, AWS Ultraclusters, and Huggingface to extract insights from large datasets.
Define and evolve the company’s long-term research agenda and foundational investments in AI innovation.
Translate complex technical research into tangible business goals for stakeholders.
Guide and mentor a team of applied scientists and their managers as an individual contributor.
Represent the company in the research community by collaborating with prominent academic faculty.
Conduct high-impact applied research to integrate the latest AI developments into next-generation products.
What we're looking for
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, or Mathematics plus 6 years of experience in Applied Research.
M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research.
Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Deep understanding of AI methodology foundations and experience building large deep learning models for language, images, events, or graphs.
Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Track record of delivering models at scale for training data and inference volumes, including delivering libraries or platform-level code.
Demonstrated track record of high-quality machine learning ideas, such as first-author publications or significant projects.
Ability to autonomously own and pursue a research agenda, including choosing impactful problems and carrying out long-running projects.
Pytorch
AWS
Huggingface
Lightning
VectorDBs
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Supervised Finetuning
Instruction-Tuning
Transfer Learning