Fall 2025 - Spring 2026 UMD-College Park & UIUC Incubator Labs, Academic Year Cohort
Capital OneAbout the role
Key Role Details
This is a paid internship that is part time, requiring 15-20 hours per week.
Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location (onsite at University of Illinois - Urbana Champaign Lab or University of Maryland - College Park Lab), in accordance with Capital One’s hybrid working model, for the duration of the program.
Basic Qualifications
Current student of, and will be actively enrolled in the same course of study through the full duration of the program at the University of Maryland - College Park; University of Illinois - Urbana Champaign
Currently pursuing a Bachelor’s degree or higher with an expectation that you will complete your most recent full-time degree program by August 2026 or earlier
At least 1 year of experience with Python
Preferred Qualifications
Currently earning a degree in Computer Science, Computer Engineering or a related field of study
At least 1 year of experience with machine learning and various subfields (deep learning, Graph ML, NLP, explainability, etc.)
At least 1 year of experience with relational databases
At least 1 year of experience with large scale data analytics
At least 1 year of experience with AWS
Demonstrated experience in contributing to open source projects and proficient use of Git/GitHub
Strong understanding of version control and collaborative development practices
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
Tech Incubator Intern - 2025-2026 Academic Year (September 2025 - March 2026)
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small businesses and commercial clients. A Fortune 500 company, Capital One has one of the most widely recognized brands in America and is one of the nation's top 10 largest banks based on deposits.
Capital One has also been recognized for the second consecutive year as a top global bank in AI and the leading bank for AI talent by the Evident AI Index. We are fueling the frontiers of state-of-the-art AI research in finance to help make banking simpler and safer for our 100 million customers. Solving the hardest problems in AI and Machine Learning requires a coming together of world-class talent that resides both in academia and industry.
Capital One Tech incubators are dynamic on-campus hubs for collaborative learning and innovation. There, student interns will apply classroom learning to real-world problems and experiences in areas like AI, machine learning, and data science. We pair some of our best scientists and technology associates to guide students and work hand-in-hand on key projects related to research and business use cases at Capital One.
Students in the program will have the opportunity to contribute to a diverse range of real-world, interdisciplinary projects that may range from:
Partnering with a cross-functional team of engineers, research scientists, technical program managers, and product managers who deliver AI Engineering products
Developing ML platforms and products, where the work involves a variety of modern software engineering practices like large scale data engineering and analytics, libraries and tooling, MLOps, CI/CD, and open source, among others.
Using the latest in computing and machine-learning technologies to work with large-scale data and cloud-based processing, applying a statistical mindset to your work.
Capital One is seeking applicants for the 2025-2026 Academic Year (September 2025 - Mar 2026).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this sala
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