Applied Researcher II

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $262,500–$299,600 / yr
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $281k

$102k most similar roles pay here $321k

This role pays more than 95% of similar roles. Most pay $133,500–$224,111 — the shaded band above. At the midpoint, this role pays about $281k versus about $179k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher II

Role Posting Log in to save

As an Applied Researcher II on the AI Foundations team, you will collaborate with cross-functional teams of data scientists, software engineers, and product managers to develop AI-powered products for banking services. You will be responsible for building AI foundation models through every phase of development, including design, training, evaluation, validation, and implementation. Your daily work involves uncovering insights within large volumes of numeric and textual data while translating complex research into tangible business goals. To achieve these objectives, you will utilize a technology stack including Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. The role focuses on applying state-of-the-art AI methodologies to solve practical problems in the financial sector, specifically by developing large deep learning models for language, images, events, or graphs while ensuring model robustness, explainability, and high-performance inference at scale.

Skills

Pytorch AWS Huggingface Lightning VectorDBs LLM NLP Graph Neural Networks RLHF Quantization Model Compression RAG Machine Learning Deep Learning

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 state-of-the-art AI developments into customer experience products.
Utilize a broad technology stack including PyTorch, AWS, Hugging Face, and VectorDBs to analyze large volumes of data.
Translate complex technical research into tangible business goals for cross-functional stakeholders.
Identify and solve large, undefined problems by researching and evaluating emerging technologies.
Develop scalable models and solutions for high-volume training data and inference requirements.
Own and pursue a research agenda by selecting impactful problems and executing long-running projects independently.

What we're looking for

Must have a PhD in a relevant field or an MS with at least 4 years of experience in Applied Research.
Must have a PhD in a related field or be in the process of obtaining one with 2 years of experience.
Experience building large deep learning models for language, images, events, or graphs is required.
Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF is required.
Must have hands-on experience developing AI foundation models using open-source tools and cloud computing platforms.
Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
Proven track record of research accomplishments such as first author publications in machine learning.
Ability to independently own a research agenda and manage long-running projects from design through implementation.

Save