2023 Internship – Artificial Intelligence & Machine Learning Research

at Johns Hopkins Applied Physics Laboratory
Published February 5, 2023
Location Fulton, MD
Category Default  
Job Type Full-time  

Description

Description Are you interested in pursuing a career in artificial intelligence (AI), machine learning (ML), or data science? Do you love to code or analyze data? Do you thrive in a fast-paced work environment? If you are an undergraduate or graduate student in Computer Science, Engineering, Mathematics, or another field that is embracing AI tools and techniques, we'd love to have you intern with us! The AI Group in the Research and Exploratory Development Department is an interdisciplinary team of researchers that is inventing the future of AI for national security, scientific discovery, public health, and climate action. As part of the Intelligent Systems Center (ISC), we often collaborate with roboticists and neuroscientists to take an interdisciplinary approach to these problems. You can learn more about our research at www.jhuapl.edu/isc. Our team is committed to excellence in research and having a real-world impact. Successful interns tend to have strong programming and analytical skills with lots of initiative to explore new approaches to hard problems. As a member of our team, your primary responsibility will be helping us develop and test state-of-the-art AI/ML algorithms on multiple projects. You will write code, analyze data, and run experiments. You will get the opportunity to work alongside and learn from world-class experts in AI/ML and their application domains, and potentially collaborate on papers being published in the scientific literature and presented at international conferences. Qualifications You meet our minimum qualifications for the job if you: Are pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics or a related field. Are skilled in Python programming. Are a US Citizen. 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. To access APL's facilities and networks, US Citizenship is required, subject to applicable laws. You'll go above and beyond our minimum requirements if you: Have experience using Python AI libraries such as scikit-learn, TensorFlow, Pytorch, OpenCV, or spaCy. Have taken courses in AI, machine learning, data science, multivariate statistics, computer vision, and/or natural language processing. Have experience with technical writing and have previously published your work in scientific literature. Have experience in web application development and a working knowledge of JavaScript and either SQL or NoSQL databases. 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 [Click Here to Email Your Resumé]. 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.Are you interested in pursuing a career in artificial intelligence (AI), machine learning (ML), or data science? Do you love to code or analyze data? Do you thrive in a fast-paced work environment? If you are an undergraduate or graduate student in Computer Science, Engineering, Mathematics, or another field that is embracing AI tools and techniques, we'd love to have you intern with us! The AI Group in the Research and Exploratory Development Department is an interdisciplinary team of researchers that is inventing the future of AI for national security, scientific discovery, public health, and climate action. As part of the Intelligent Systems Center (ISC), we often collaborate with roboticists and neuroscientists to take an interdisciplinary approach to these problems. You can learn more about our research at www.jhuapl.edu/isc. Our team is committed to excellence in research and having a real-world impact. Successful interns tend to have strong programming and analytical skills with lots of initiative to explore new approaches to hard problems. As a member of our team, your primary responsibility will be helping us develop and test state-of-the-art AI/ML algorithms on multiple projects. You will write code, analyze data, and run experiments. You will get the opportunity to work alongside and learn from world-class experts in AI/ML and their application domains, and potentially collaborate on papers being published in the scientific literature and presented at international conferences.