Summer AI/ML Research Intern — Frontier Models

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 30,000 - 65,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) invites students to join the AI Group for a summer internship focused on pursuing AI/ML research on open-ended problems and national-security challenges. Interns will train and evaluate frontier AI models across one or two projects under the REDD department.

The role offers access to interdisciplinary teams, potential publication opportunities, and exposure to cutting-edge tools in PyTorch, with a strong emphasis on responsible research and

Qualifications

• Pursuing Bachelor's, Master's, or PhD in CS, Engineering, Mathematics, or related AI field.
• Proficient in Python with PyTorch.
• GPA of at least 3.0 on a 4.0 scale.
• Ability to obtain a Secret level clearance; U.S. citizenship required.

Responsibilities

• Assist in training and evaluating frontier AI models on one or two projects.
• Potential to publish results if outcomes are impactful.
• Collaborate with researchers in ISC to advance AI research.

Skills

Python programming

PyTorch

Education

Bachelor's/Master's/PhD in CS/Engineering/Math or related AI field

Tools

GitHub

Job description

Johns Hopkins Applied Physics Laboratory (APL) invites students to join the AI Group for a summer internship focused on pursuing AI/ML research on open-ended problems and national-security challenges. Interns will train and evaluate frontier AI models across one or two projects under the REDD department.

The role offers access to interdisciplinary teams, potential publication opportunities, and exposure to cutting-edge tools in PyTorch, with a strong emphasis on responsible research and