Paid 12-Week AI Engineering Internship

Capital One; McLean (VA); Hybrid; USD 158,000 - 194,000; Full time

Job summary

Capital One offers a paid 12-week AI Engineering Internship (June–August) with in-person attendance at a Capital One site in the continental US. Interns may be evaluated for a full-time AI Engineering role upon graduation, subject to business needs and immigration considerations.

The program emphasizes building AI-native experiences for millions of customers. Participants work with a team that includes researchers, PMs, and engineers to prototype and ship AI-native products, deploy advanced AI

Qualifications

• PhD in CS / AI / EE / CE or related field expected by Aug 2029 or earlier.
• Continuing in same course of study after internship.
• At least 1 year of experience developing AI/ML algorithms.
• At least 1 year of experience programming with Python/Go/Scala/Java.

Responsibilities

• Partner with cross-functional team to prototype and ship AI-native products for millions of customers.
• Research, prototype, and productionalize AI systems including multimodal search and autonomous agentic workflows.
• Design and optimize AI infrastructure from fine-tuning to inference optimization with guardrails and evaluation frameworks.
• Leverage AWS Ultraclusters, PyTorch, and agentic frameworks; use Claude Code and Windsurf to accelerate concept-to-code.
• Architect agentic workflows enabling autonomous tool navigation and multi-step reasoning in complex microservice environments.

Skills

AI/ML

Python

Go

Scala

Java

Education

PhD in CS/AI/EE/CE

Tools

AWS

Google Cloud

Azure

PyTorch

LangChain

Job description

Capital One offers a paid 12-week AI Engineering Internship (June–August) with in-person attendance at a Capital One site in the continental US. Interns may be evaluated for a full-time AI Engineering role upon graduation, subject to business needs and immigration considerations.

The program emphasizes building AI-native experiences for millions of customers. Participants work with a team that includes researchers, PMs, and engineers to prototype and ship AI-native products, deploy advanced AI