Artificial Intelligence Intern - Information Fusion

Johns Hopkins University Applied Physics Laboratory LLC; Laurel (MD); Presencial; USD 31.000 - 66.000; Jornada completa

Descripción de la vacante

Johns Hopkins University Applied Physics Laboratory LLC invites motivated students pursuing a Bachelor's, Master's, or PhD in CS, Math, Engineering, Physics, or related fields to join our Information Fusion and Artificial Intelligence Group as an intern in Laurel, MD.

You will work with engineers and scientists at the forefront of defense-related AI, data fusion, and distributed algorithms for Navy, Missile Defense, and Air Force systems.

Formación

• Pursuing a Bachelor's or Master's degree (or PhD) in CS, Math, Engineering, Physics or similar.
• Fluent in Python or C/C++, with ability to translate math concepts into well-documented and efficient code.
• Desire to apply software engineering techniques to complex problems.
• Good written and verbal communication skills.
• Eligible for Interim Secret clearance by start date and ultimately Secret clearance (U.S. citizenship required).

Responsabilidades

• Research, implement, prototype, and analyze algorithms; document performance of approaches.
• Interact with large datasets for training, testing, cleaning, or preprocessing.
• Create, develop, and debug code for multi-user software test beds.
• Create visualizations and documentation to explain complex topics to diverse audiences.

Conocimientos

Python

C/C++

Data analysis

Educación

Bachelor's/Master's/PhD in CS/Math/Engineering/Physics

Herramientas

Git

Descripción del empleo

Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?

If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.

We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.

As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.

As a member of our team...

• You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
• You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
• You will create, develop, and debug code to contribute to various multi-user software test beds.
• You will create effective visualizations and documentation to explain complex topics to a variety of audiences.

Qualifications

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

• Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
• Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
• Have a desire to apply software engineering techniques to complex problems
• Have good written and verbal communication skills
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain 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 pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
• Have basic knowledge in AI/ML or have taken AI/ML courses
• Have basic knowledge in Autonomy, or have taken Autonomy courses
• Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
• Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
• Have demonstrated experience in working with version control software like Git

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 [e-mail].

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