2027 Internship - Tactical Intelligence Systems

Description

If you are pursuing a degree in Computer Science, Machine Learning, Artificial Intelligence, Physics, Software Engineering, Computer Engineering, Mathematics, or similar, we'd love to have you join our team!

We are seeking enthusiastic problem-solvers to help us tackle the complex research, engineering, and analytical problems that present critical challenges to our nation. Our group applies artificial intelligence (AI), machine learning (ML) operations, data science, systems engineering, and more to solve urgent tactical problems. We primarily support sponsors in defense and health care, conducting research to address critical challenges.

As a member of our team you will...

• Work with dedicated team members charged with developing and delivering solutions that support national priorities.
• Work within a team environment and apply your skills to projects and tasks in areas such as Machine Perception, Intelligent Systems, Reasoning for Autonomy, Software Engineering, ML Operations, AI Assurance, and Data Science.

Qualifications

You meet our minimum qualifications for the job if you...

• Are pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Physics, Software Engineering, Computer Engineering, Mathematics, or related field
• Have maintained a minimum 3.0/4.0 GPA.
• Are skilled in and/or have knowledge of one or more of the following....
  • Programming languages (Python, C/C++)
  • Data analysis / visualization
  • Database management
  • AI / ML techniques
• Are able to obtain Interim Secret level security clearance by your start date and can 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.

You'll go above and beyond our minimum requirements if you are skilled in and/or have knowledge of any of the following....

• Code management (Git workflow, Agile development, Jira, Docker, etc.)
• UNIX / Linux CLI
• Building/training deep learning models, parameter tuning, PyTorch/Tensorflow, etc.
• Computer vision
• Working with health data

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$22.60 Hourly

Maximum Rate

$47.95 Hourly