Applied Researcher II, AI Foundations

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Employment: Full-time
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $204k

$151k $260k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.

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 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

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At a glance

TL;DR · Applied Researcher II, AI Foundations

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The Applied Researcher II (AI Foundations) joins the AI Foundations team to develop trustworthy and reliable artificial intelligence systems. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products. The researcher 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 translate state-of-the-art developments into customer experiences. The position requires proficiency with Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to analyze large volumes of numeric and textual data. The work focuses on solving technical problems related to training optimization, self-supervised learning, robustness, explainability, and RLHF to improve how customers interact with their money through scalable, high-performance AI infrastructure.

Skills

Pytorch AWS Huggingface Lightning VectorDBs Deep Learning LLMs RLHF Graph Neural Networks Supervised Finetuning Instruction-Tuning Transfer Learning Tokenization DGL pytorch-geometric

What you'll do

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.
Use technologies like PyTorch, AWS Ultraclusters, and VectorDBs to extract insights from large numeric and textual datasets.
Deliver AI-powered products by partnering with cross-functional teams of data scientists, software engineers, and product managers.
Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
Translate complex technical work into tangible business goals for stakeholders.
Deliver libraries, platform-level code, or solution-level code to existing products.

What we're looking for

Must have a PhD in a related field with 2 years of experience or an M.S. in a related field with 4 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 the ability to own a research agenda and autonomously carry out long-running projects.
Must have a track record of new ideas or improvements in machine learning, such as first-author publications (preferred).