Publisher
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Capital One

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AI Engineering Intern / PhD Opportunity in AI, Machine Learning, and Agentic Systems Capital One in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Internship opportunity at Capital One; no stipend, salary, tuition, or funding details are stated in the post.

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Country

United States

University

Capital One

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Keywords

Computer Science
Electrical Engineering
Information Technology
Artificial Intelligence
Natural Language Processing
Cloud Computing
Computer Vision
Reinforcement Learning
Distributed System
ML

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About this position

AI Engineering Intern / PhD Opportunity at Capital One

Capital One is advertising an AI Engineering Intern role focused on building next-generation AI-native products and agentic systems serving 100M+ customers. The work spans multimodal search, intelligent document processing, agentic AI, autonomous workflows, LLM inference, NLP, computer vision, reinforcement learning, inference optimization, and AI/ML fine-tuning and pre-training pipelines.

This opportunity is aimed at students currently pursuing a PhD in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field. The degree is expected by August 2029 or earlier. Applicants should have at least one year of AI/ML experience through work or academic research, strong programming skills in Python, Go, Scala, or Java, and experience with AWS, Azure, or Google Cloud.

The post specifies that candidates must be located in the continental United States and that in-person attendance is required during the internship. The location is listed as California, United States.

No funding, stipend, or tuition support details are mentioned in the post. Interested candidates should apply through the provided link and review the role requirements before submitting an application.

Funding details

Internship opportunity at Capital One; no stipend, salary, tuition, or funding details are stated in the post.

What's required

Currently pursuing a PhD in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field. Degree must be expected by August 2029 or earlier. Requires at least 1 year of AI/ML experience through work or academic research, strong programming skills in Python, Go, Scala, or Java, experience with AWS, Azure, or Google Cloud, and the ability to be located in the continental United States with in-person attendance during the internship.

How to apply

Use the provided application link to apply for the Capital One AI Engineering Intern role. Review the eligibility requirements carefully before submitting. The internship requires in-person attendance and location in the continental United States.

More information can be found here

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