PhD Applied Research Intern

Capital One Financial

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMcLean, VASan Jose, CA
Employment
Intern
Posted
3 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $186k
$109k most similar roles pay here $265k

This listing doesn't post a salary. Most similar roles pay $123,752–$249,131.

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.

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At a glance

TL;DR · PhD Applied Research Intern

Current PhD, Applied Research Internship Program - Summer 2027 offers an opportunity to join the AI Foundations team for a twelve-week summer experience focused on developing trustworthy and reliable AI systems. In this role, you will conduct high-impact applied research to translate state-of-the-art developments into next-generation customer experiences or contribute to academic publications. You will collaborate with cross-functional teams of researchers, data scientists, and engineers to design products that improve how customers interact with their money. The work involves analyzing large volumes of numeric and textual data using a technical stack including PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. Relevant research areas include Foundation Models, Reinforcement Learning, Causal Inference, and Model Inference Optimization. Candidates should possess expertise in deep learning theory and programming skills to solve complex problems within the banking sector.

What you'll do

  • Solve large-scale problems by applying state-of-the-art AI developments to real-world customer experiences.
  • Contribute to academic publications in leading conferences regarding advanced AI research.
  • Design and test AI-powered products in collaboration with cross-functional engineering and product teams.
  • Analyze massive volumes of numeric and textual data using PyTorch, Hugging Face, and VectorDBs.
  • Translate complex technical research into tangible business goals for stakeholders.
  • Evaluate emerging technologies to identify opportunities for practical application in banking.
  • Develop high-performance AI infrastructure and models for scalable production systems.

What we're looking for

  • Must be currently enrolled in an accredited PhD program with first-year coursework completed by June 2027.
  • Degree in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields (preferred).
  • Programming experience in Python and proficiency with at least one deep learning framework like PyTorch (preferred).
  • Publications in leading conferences such as ICLR, NeurIPs, ICML, ACL, NAACL, EMNLP, KDD, or CVPR (preferred).
  • Research focus in areas including Foundation Models, Reinforcement Learning, Causal Inference, or Model Inference Optimization (preferred).
  • Strong foundation in mathematics, deep learning theory, and engineering for AI development.

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