AI & Data Science Internship: Analytic Capabilities

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 32,000 - 66,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) invites motivated students to join our internship program, contributing to advanced research, engineering, and analytical challenges that support national priorities. You will work on scalable software systems leveraging data science, AI/ML, and visualization across diverse domains.

You will collaborate with a passionate team, tackling projects in AI/ML, data science, software DevOps, signal and image processing, and mathematics, while gaining

Qualifications

• Pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or related technical field
• Have a minimum GPA of 3.0 on 4.0 scale
• Have experience with Python, Java, Kotlin, R, Javascript, MATLAB, or C++/C
• Have interest/experience in AI/ML solutions
• Are able to ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Responsibilities

• Collaborate with a passionate team dedicated to creating cutting-edge solutions that address national priorities and deliver real-world impact
• Contribute to exciting projects and apply your skills in areas such as Artificial Intelligence, Machine Learning, Data Science, Software DevOps, Signal and Image Processing, and Mathematics

Skills

Python

Java

C++

AI/ML

Data analysis

Education

Bachelor’s, Master’s, or PhD in CS/Math/Engineering

Tools

Git

Maven

Poetry

React

Angular

Vue

Job description

Johns Hopkins Applied Physics Laboratory (APL) invites motivated students to join our internship program, contributing to advanced research, engineering, and analytical challenges that support national priorities. You will work on scalable software systems leveraging data science, AI/ML, and visualization across diverse domains.

You will collaborate with a passionate team, tackling projects in AI/ML, data science, software DevOps, signal and image processing, and mathematics, while gaining