This role pays more than
57%
of similar roles. Most pay
$175,000–$254,750
— the shaded band above.
At the midpoint, this role pays about
$234k
versus about
$215k
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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
As an Applied Researcher I (AI Foundations), you will join the AI Foundations team to develop trustworthy and reliable AI systems for banking applications. You will collaborate with a cross-functional team of data scientists, software engineers, and product managers to build AI-powered products that transform how customers interact with their money. Your daily responsibilities include building AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. To uncover insights within large volumes of numeric and textual data, you will utilize a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. You will conduct high-impact research to integrate state-of-the-art methods into the next generation of customer experiences. This role focuses on solving complex problems related to large deep learning models, training optimization, self-supervised learning, robustness, explainability, and RLHF.
Build AI foundation models through all phases of development including design, training, evaluation, validation, and implementation.
Conduct high-impact applied research to integrate state-of-the-art AI developments into next-generation customer experiences.
Utilize a broad technology stack including PyTorch, AWS Ultraclusters, HuggingFace, and VectorDBs to analyze large volumes of data.
Translate complex technical research into tangible business goals for cross-functional stakeholders.
Research and evaluate emerging technologies while staying current on published state-of-the-art methods and applications.
Develop scalable AI solutions and production-level code for high-volume training and inference.
Own and pursue a research agenda by identifying impactful problems and executing long-running projects autonomously.
What we're looking for
Must have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
Alternatively, must have an M.S. in a relevant technical 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 possess a deep understanding of the foundations of AI methodologies and building large deep learning models.
Must demonstrate an engineering mindset with a track record of delivering models at scale for training data and inference volumes.
Must have a track record of high-quality ideas in machine learning, such as first author publications or significant projects.
Experience in delivering libraries, platform level code, or solution level code to existing products is required.
Preferred qualifications include multiple publications on pre-training LLMs, experience training 10B+ parameter models, and expertise in optimization (preferred).