Current PhD, AI Engineering Internship Program - Summer 2027

Current PhD, AI Engineering Internship Program - Summer 2027 Key Role Details This is a full-time paid internship program spanning twelve weeks from June through August. Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model, for the duration of the program. Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation. This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time AI Engineering role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

Currently has, or is in the process of obtaining a PhD in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with an expectation that the required degree will be obtained by August 2029 or earlier. Must be continuing in the same course of study of the most recent degree following completion of the internship period. At least 1 year of experience or academic work developing AI and ML algorithms or technologies. At least 1 year of experience or academic work programming with Python, Go, Scala, or Java.

Preferred Qualifications

Experience or academic work with deploying AI/ML systems on cloud platforms (e.g., AWS, Google Cloud, Azure). Experience or academic work in developing and applying state-of-the-art techniques for optimizing AI/ML training or inference pipelines, including distributed GPU computational frameworks. Experience or academic work with AI/ML domains and systems (e.g., LLM Inference, Search and Retrieval, NLP, Computer Vision, Guardrails, Memory). Familiarity with Agent