Applied Researcher IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VACambridge, MASan Jose, CA
Salary
$218,700–$249,600 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $234k
$174k most similar roles pay here $273k

This role pays more than 55% of similar roles. Most pay $193,935–$254,750 — the shaded band above. At the midpoint, this role pays about $234k versus about $224k 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 878 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 872 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher IV

Role Posting Log in to save

As an Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI), 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 foundation models through every phase of development, including design, training, evaluation, validation, and implementation. Your daily work involves uncovering insights within massive volumes of numeric and textual data to create next-generation customer experiences. To achieve these goals, you will utilize a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, and Lightning. You will also leverage expertise in large deep learning models, training optimization, self-supervised learning, robustness, explainability, and RLHF to solve complex problems involving language, images, events, or graphs within the financial services domain.

Skills

Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Optimization Compiler Design Instruction-Tuning

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.
  • Analyze large volumes of numeric and textual data using tools like PyTorch, Hugging Face, and AWS Ultraclusters.
  • Translate complex technical research into tangible business goals for stakeholders and product managers.
  • Prepare internal technical reports or conference submissions to summarize novel methods and findings.
  • Develop scalable models and production-level code for high-volume training and inference.
  • Identify and solve large, undefined problems by researching and evaluating emerging technologies.
  • Own and execute a research agenda by selecting impactful problems and managing long-running projects.

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 field plus 2 years of experience in Applied Research.
  • 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 an engineering mindset with a track record of delivering models at scale for both training and inference.
  • Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
  • A track record of high-quality ideas in machine learning, such as first-author publications, is required.
  • Ability to own a research agenda and autonomously carry out long-running projects is required.

Related searches

More Applied Researcher 4 jobs Applied Researcher 4 jobs in New York All jobs at Capital One Financial

More like this

Similar roles

Applied Researcher IV

Capital One Financial

San Jose, CA +4 3 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Optimization Cloud Computing Compiler Design
2+ yrs exp
Save

Applied Researcher IV

Capital One Financial

San Jose, CA +4 3 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Optimization Compiler Design Machine Learning
2+ yrs exp
Save

Applied Researcher V

Capital One Financial

San Jose, CA +4 3 days ago $262,500–$299,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Quantization Model Sparsification Training Optimization Instruction-Tuning Self-Supervised Learning Compiler Design
2+ yrs exp
Save

Applied Researcher V

Capital One Financial

San Jose, CA +4 3 days ago $262,500–$299,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Parallelism Compiler Design Finetuning
2+ yrs exp
Save

Applied Researcher V

Capital One Financial

New York, NY +3 3 days ago $262,500–$299,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Compression Training Optimization Cloud Computing Machine Learning Compiler Design
2+ yrs exp
Save

Applied Researcher IV

Capital One Financial

San Jose, CA +3 3 days ago $218,700–$249,600
LLM Pytorch Huggingface Lightning AWS Reinforcement Learning RLHF Self-Supervised Learning Graph Neural Networks NLP Deep Learning Finetuning Instruction-Tuning pytorch-geometric DGL
2+ yrs exp
Save