Current PhD, Applied Research Internship Program - Summer 2027

Capital One
San Jose, California, United StatesPosted Sep 8, 2026
Research / ScienceSummer 2027

About the role

Current PhD, Applied Research Internship Program - Summer 2027 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue delivering our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Participation in the program 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. 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 Applied Research 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 enrolled in an accredited PhD Program 1st year of PhD coursework must be completed by June 2027

Preferred Qualifications

Completed 2nd or 3rd of PhD Program PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields Programming experience (e.g. Python) and experience with at least one deep learning framework (e.g. PyTorch) Publications in leading conferences such as ICLR, NeurIPs, ICML, ACL, NAACL, EMNL

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