Applied Researcher 4, AI Foundations

Capital One Financial

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
San Jose, CANew York, NYMcLean, VA
Salary
$218,700–$249,600 / yr
Employment
Full-time
Posted
13 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 $211k
This role $234k
$185k $257k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $192,050–$230,400 — the blue band above. At the midpoint, this role pays about $234k versus about $211k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher 4, AI Foundations

Role Posting Log in to save

The Applied Researcher 4 (AI Foundations) 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-powered products and foundation models. Day-to-day responsibilities include managing all phases of development, from design and training to evaluation, validation, and implementation. The researcher will utilize a technical stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to extract insights from large volumes of numeric and textual data. Key competencies include expertise in deep learning, training optimization, self-supervised learning, robustness, explainability, and RLHF. The work focuses on pushing state-of-the-art AI developments into production to improve customer experiences and solve complex business problems through scalable, high-performance infrastructure.

Skills

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

What you'll do

  • Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
  • Leverage technologies like Pytorch, AWS Ultraclusters, and Huggingface to extract insights from large numeric and textual datasets.
  • Conduct high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
  • Deliver AI-powered products by partnering with cross-functional teams of data scientists, software engineers, and product managers.
  • Translate complex technical research into tangible business goals for stakeholders.
  • Prepare internal technical reports or conference submissions summarizing novel methods and research findings.
  • Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
  • Develop libraries, platform-level code, or solution-level code for existing products.

What we're looking for

  • Currently hold or are obtaining a PhD in a relevant field, or an M.S. plus 2 years of experience in Applied Research.
  • Have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • Possess a deep understanding of the foundations of AI methodologies.
  • Have experience building large deep learning models for language, images, events, or graphs.
  • Possess expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
  • Demonstrate an engineering mindset with a track record of delivering models at scale for training and inference.
  • Have experience delivering libraries, platform-level code, or solution-level code to existing products.
  • Possess the ability to own a research agenda and autonomously carry out long-running projects.

Related searches

More Applied Researcher 4 jobs Applied Researcher 4 jobs in San Jose All jobs at Capital One Financial

More like this

Similar roles

Applied Researcher 4, AI Foundations, VLM

Capital One Financial

San Jose, CA +4 35 days ago
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Quantization Model Sparsification Training Parallelism Supervised Finetuning Instruction-Tuning Transfer Learning Tokenization
2+ yrs exp
Save

Applied Researcher 4

Capital One Financial

San Jose, CA +4 39 days ago
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning Graph Neural Networks RLHF Quantization Model Sparsification Training Parallelism Supervised Finetuning Instruction-Tuning Transfer Learning pytorch-geometric DGL
2+ yrs exp
Save

Applied Researcher 4

Capital One Financial

New York, NY +3 28 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Parallelism Gradient Checkpointing Model Compression Transfer Learning Supervised Finetuning Instruction-Tuning Compiler Design
2+ yrs exp
Save

Applied Researcher 4, AI Foundations, LLM Core and Agentic AI

Capital One Financial

San Jose, CA +4 39 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Parallelism Supervised Finetuning Instruction-Tuning Transfer Learning Tokenization
2+ yrs exp
Save

Applied Researcher 4, AI Foundations, LLM Core and Agentic AI

Capital One Financial

San Jose, CA +3 14 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Parallelism Supervised Finetuning Instruction-Tuning Transfer Learning Compiler Design
2+ yrs exp
Save

Applied Researcher 4, AI Foundations, LLM Core and Agentic AI

Capital One Financial

New York, NY +3 39 days ago $218,700–$249,600
Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Quantization Model Compression Training Parallelism Supervised Finetuning Instruction-Tuning Self-Supervised Learning Transfer Learning Compiler Design
2+ yrs exp
Save