PhD Internship, Applied Research

Capital One

Capital One PhD intern conducting applied AI research for next-generation banking experiences. Building and publishing deep-learning solutions with cross-functional product and engineering teams.

Posted 9/8/2026internshipNew York City • California, New York, Virginia • 🇺🇸 United StatesEntry Level💰 $191,000 - $209,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-driven research and product development, with a strong focus on deep learning frameworks and the ability to translate complex research into actionable business strategies. Proven track record of publishing in leading academic conferences and collaborating with interdisciplinary teams.

Highest-signal resume keywords

PhD In Computer ScienceDeep Learning Framework ExperiencePublications In Leading ConferencesProgramming Experience In PythonResearch Focus In Foundation Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonDeep LearningMachine LearningApplied ResearchData AnalysisModel Inference OptimizationRecommendation SystemsCausal InferenceReinforcement LearningSequential User Behavior Modeling

Soft Skills

CollaborationNetworkingCommunication

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningVectorDBs

Industry Keywords

AI-Driven Customer ExperiencesResponsible AIInterpretabilityUncertainty EstimationAgentic Systems

Tech Stack

Tools & technologies

AWSPythonPyTorch

About the role

Key responsibilities & impact

Participate in a full-time, 12-week summer applied research experience
Discover solutions to real-world, large-scale problems
Conduct high-impact applied research to advance AI-driven customer experiences and contribute to publications
Partner with applied researchers, data scientists, software engineers, machine learning engineers, and product managers
Test and design AI-powered products that change how customers interact with their money
Use PyTorch, AWS Ultraclusters, Hugging Face, Lightning, VectorDBs, and other technologies to analyze large volumes of numeric and textual data
Translate complex research into tangible business goals
Collaborate with leading researchers to publish papers at top academic conferences
Develop professionally through networking, technical deep dives, and executive speaker sessions

Requirements

What you’ll need

Currently enrolled in an accredited PhD program
1st year of PhD coursework must be completed by June 2027
Located in the continental United States
In-person attendance at the assigned location
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields
Programming experience, such as Python
Experience with at least one deep learning framework, such as PyTorch
Publications in leading conferences such as ICLR, NeurIPS, ICML, ACL, NAACL, EMNLP, KDD, or CVPR
Focused research area in foundation models, LLMs, reinforcement learning, causal inference and decision making, sequential user behavior modeling, model inference optimization, interpretability/responsible AI, recommendation systems, uncertainty estimation, or agentic systems
Capital One will not sponsor a new applicant for employment authorization for this internship position

Benefits

Comp & perks

Paid internship
Health, financial, and other benefits supporting total well-being
Networking sessions
Technical deep dives
Executive speaker sessions
In-person hybrid working model