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2023 Internship – Reinforcement Learning Research Intern

Johns Hopkins Applied Physics Lab

Job Description


Do you want to work on a team researching and developing innovative ways to train artificially intelligent agents using machine learning to produce near optimal behaviors for cooperative-competitive environments?


Would you like to advance your ideas from concept to prototype in creating new deep reinforcement learning algorithms using advanced neural network architectures?


Are you excited about designing systems that will advance our nation's air dominance and battle management capabilities with leading edge technology?


If so, and if you are currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Applied Mathematics, Engineering, Physical Science, or other related field, we'd love to have you join our team at APL!


We are seeking creative engineers, scientists, mathematicians, and programmers to help us conceptualize, develop, test, assess, and field the next generation of autonomous intelligent platforms and systems for the US military.  Our team applies diverse disciplines such as aerodynamics, reinforcement learning, machine learning, test and evaluation, control theory, and artificial intelligence (AI) to build systems that automatically or autonomously maneuver real world vehicles, coordinate with teammates both AI and human, and make machine-precision decisions at machine speeds about complex threats and environments. 


As an intern working in Reinforcement Learning Research,

  • You will apply your knowledge of computer science, applied mathematics, and/or engineering to challenging problems in reinforcement learning, machine learning, deep learning, artificial intelligence, control theory, autonomy, algorithms, and resource optimization.
  • You will contribute to teams implementing prototype and deployable software systems that realize advanced reinforcement learning capabilities.
  • You will contribute to teams developing new simulation environments, capabilities, and analytical tools.  
  • You will contribute to teams developing user interfaces, visualizations, and network/web services.
  • You will contribute to field tests and experiments.
  • You will document and present your work to project leads.


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

  • Are pursuing a Bachelor's, Master's or PhD degree in Computer Science, Applied Mathematics, Engineering, Physical Science, or other related field.
  • Have a passion for learning and developing new and useful things.
  • Have experience in deep reinforcement learning and related machine learning topics.
  • Have some skills and experience programming in Python, C/C++, and/or MATLAB.
  • Have the ability to work and collaborate effectively in a team environment.
  • Have a minimum 3.0 GPA on a 4.0 scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Can demonstrate that you are fully vaccinated against COVID-19. To ensure the safety and well-being of the community, APL has established a policy requiring that all staff be vaccinated against COVID-19. All staff members must provide proof of full vaccination or have an approved medical or religious accommodation by their start date.
  • Are able to obtain a Secret security 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… 

  • Have prior, relevant internship experience.
  • Have experience developing fully functional software applications.

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 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 www.jhuapl.edu/careers.


About Us

APL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

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