Paid AI Engineering Internship, Summer 2027 (Hybrid US)

Capital One; McLean (VA); Hybrid; USD 132,000 - 162,000; Full time

Job summary

Capital One is offering a 12-week AI Engineering Internship designed to build and deploy AI-native solutions for customer experiences. The program emphasizes hands-on work with AI/ML systems, agentic workflows, and scalable infrastructure in a collaborative, cross-functional setting.

Interns will be evaluated for a full-time role and may obtain an offer after graduation. The program requires in-person presence within the continental United States under Capital One’s hybrid model.

Qualifications

• Pursuing a Master’s degree with expected graduation by August 2028 or earlier.
• Continuing in the same degree program after internship ends.
• At least 6 months of AI/ML experience or academic work.
• At least 6 months of programming experience in Python, Go, Scala, or Java.

Responsibilities

• Partner with a cross-functional team to prototype and ship AI-native products for millions of customers.
• Prototype and productionalize AI systems, including multimodal search and NLP applications.
• Design and optimize AI infrastructure, including pre-training pipelines, RL, and guardrails.

Skills

AI/ML experience

Programming in Python/Go/Scala/Java

Education

Master’s degree in Computer Science or related field

Tools

AWS

Google Cloud

Azure

Job description

Capital One is offering a 12-week AI Engineering Internship designed to build and deploy AI-native solutions for customer experiences. The program emphasizes hands-on work with AI/ML systems, agentic workflows, and scalable infrastructure in a collaborative, cross-functional setting.

Interns will be evaluated for a full-time role and may obtain an offer after graduation. The program requires in-person presence within the continental United States under Capital One’s hybrid model.