Current Master's, AI Engineering Internship Program - Summer 2027

Socket.dev; New York, California (NY, MO); On-site; USD 14,000 - 18,000; Full time

Job summary

Capital One is hosting the Current Master’s AI Engineering Internship Program for Summer 2027. This paid, twelve-week internship runs June through August and offers real project work in AI/ML under experienced mentors.

You must be based in the continental United States and attend in-person at your assigned location as part of Capital One's hybrid model. Interns are evaluated for full-time roles, with potential immigration sponsorship for future AI Engineering positions.

Qualifications

• Pursuing a Master’s degree with expected graduation by Aug 2028.
• Continuing in the same degree program after the internship.
• Minimum 6 months of AI/ML development experience.
• Minimum 6 months of programming with Python, Go, Scala, or Java.

Skills

AI/ML development

Programming languages

Education

Masters degree in CS/AI/EE/CE

Job description

Current Master's, 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 pursuing a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with an expectation that the required degree will be obtained by August 2028 or earlier.
• Must be continuing in the same course of study of the most recent degree following completion of the internship period.
• At least 6 months of experience or academic work developing AI and ML algorithms or technologies.
• At least 6 months 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 Agentic Frameworks (Eg: LangChain, LangGraph, LlamaIndex, Autogen, MCP/A2A, frontier-labs agent SDKs).

AI Engineering Internship

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering