2027 Internship – Artificial Intelligence and Machine Learning (AI/ML) Research Assistant

Johns Hopkins Applied Physics Laboratory • Laurel, MD

10d

About The Position

The Johns Hopkins University Applied Physics Laboratory’s AI Group, within the Research and Exploratory Development Department, seeks undergraduate and graduate students for a summer internship. The group works to close the gap between frontier models and sponsors’ expectations for an AI-dominated future. Its research includes improving behavioral alignment of AI agents for human-machine teaming and wargaming, training multimodal foundation models on language and sensor data, developing intelligent robots that use agentic AI, assessing and addressing vulnerabilities in frontier models, and mission-driven testing and evaluation of novel research.

Interns will work on one or two projects, primarily helping train and evaluate frontier AI models and applications. They will be exposed to interdisciplinary research and have access to experts in the field. Interns may have the opportunity to publish their work if the results are particularly impactful.

Requirements

• Be pursuing a bachelor’s, master’s, or PhD degree in computer science, engineering, mathematics, or another related field pertaining to AI.
• Be proficient in Python programming and have experience using PyTorch.
• Have a GPA of at least 3.0 on a 4.0 scale.
• Be able to obtain a Secret-level clearance; eligibility requires U.S. citizenship and, if selected, passing a background investigation and meeting requirements for access to classified information.

Nice To Haves

• Coursework in AI, machine learning, data science, multivariate statistics, computer vision, and/or natural language processing.
• An active portfolio of open-source software projects on GitHub.
• Examples of Python projects using Hugging Face libraries.
• Examples of Python projects interfacing with large language models, such as a Retrieval Augmented Generation (RAG) system.
• Examples of projects using 3D modeling tools such as Blender or Nerfstudio.
• Previous publication of work in scientific literature.

Responsibilities

• Help train frontier AI models and applications on one or two projects.
• Evaluate frontier AI models and applications.

Benefits

• Robust education assistance program and education assistance.
• Unparalleled retirement contributions and retirement plans.
• Paid time off.
• Medical, dental, vision, and life insurance.
• Short-term and long-term disability insurance.
• Flexible spending accounts.
• Training and development.
• Healthy work/life balance.
• Potential sign-on bonus, relocation benefits, locality allowance, or discretionary payments for exceptional performance, as applicable.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed