Applied Researcher 5

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VACambridge, MASan Jose, CANew York, NY
Salary: $262,500–$299,600 / yr
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k

This role $281k

$197k $311k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $208,137–$246,150 — the blue band above. At the midpoint, this role pays about $281k versus about $227k 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 2276 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1147 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher 5

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The Applied Researcher 5 joins the AI Foundations team to develop trustworthy and reliable artificial intelligence systems for banking. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. You will leverage a technology stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to extract insights from large volumes of numeric and textual data. Key responsibilities include leading research threads that bridge prototype model development and production deployment while translating complex scientific insights into tangible business goals. The work focuses on applying state-of-the-art AI methodologies, such as self-supervised learning, RLHF, and training optimization, to create next-generation customer experiences and scalable high-performance AI infrastructure.

Skills

Pytorch AWS Huggingface Lightning Deep Learning LLM NLP RLHF Self-Supervised Learning Quantization Model Compression Training Parallelism Supervised Finetuning Instruction-Tuning Compiler Design

What you'll do

Build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation.
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.
Translate complex technical research into tangible business goals and customer experiences.
Conduct high-impact applied research to integrate the latest AI developments into next-generation products.
Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
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 applied research experience or an M.S. in a related field with 4 years of experience.
Must have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Must have a deep understanding of the foundations of AI methodologies.
Must have experience building large deep learning models for language, images, events, or graphs.
Must have expertise in one or more of the following: 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 a track record of high-quality machine learning ideas, such as first-author publications or projects.

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