Paid AI Engineering Internship - Summer (12 weeks)

Capital One; San Jose (CA); Hybrid; USD 176,000 - 192,000; Full time

Job summary

Capital One is offering a twelve-week AI Engineering Internship in the United States, with in-person attendance at an assigned location and a hybrid working model. This paid internship may lead to a full-time AI Engineering role upon graduation and business needs.

Applicants should be on track for a PhD in a related field by August 2029 and pursue continued study after the internship. The program emphasizes building AI-native experiences for customers using a range of technologies including AWS

Qualifications

• Pursuing a PhD in CS/AI/EE or related field with degree expected by Aug 2029.
• At least 1 year of AI/ML algorithm development experience.
• At least 1 year of programming experience in Python, Go, Scala, or Java.

Responsibilities

• Prototype and ship AI-native products with cross-functional teams.
• Research, prototype, and productionalize high-impact AI systems.
• Design and optimize AI stack infrastructure from training to inference.
• Leverage AWS Ultraclusters, PyTorch, and agentic frameworks to accelerate development.
• Architect agentic workflows enabling autonomous tool usage and multi-step reasoning.

Skills

AI/ML algorithms development

Python

Go

Scala

Java

Education

PhD in CS/AI/EE or related field (expected by Aug 2029)

Tools

AWS Ultraclusters

PyTorch

LangChain

LangGraph

LlamaIndex

Autogen

Job description

Capital One is offering a twelve-week AI Engineering Internship in the United States, with in-person attendance at an assigned location and a hybrid working model. This paid internship may lead to a full-time AI Engineering role upon graduation and business needs.

Applicants should be on track for a PhD in a related field by August 2029 and pursue continued study after the internship. The program emphasizes building AI-native experiences for customers using a range of technologies including AWS