Job Description

Are you a software developer, excited about developing artificial intelligence (AI) to solve scientific problems?

Do you enjoy contributing to critical challenges that require cross-disciplinary approaches?

If so, we’re looking for someone like you to join our team at APL!

We are seeking a Scientific Machine Learning Software Developer for the Complex Systems Group in the Research & Exploratory Development Department to be a part of multidisciplinary teams focused on the research and development of innovative algorithms and prototypes for scientific discovery.

Our Complex Systems Group, within the Intelligent Systems Center (www.jhuapl.edu/isc), develops novel AI methods to accelerate discovery and design for materials science, protein engineering, climate intelligence and earth systems, as well as other physical and biological systems. We strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence.

Scientific machine learning (SciML) is a burgeoning research area seeking to integrate novel machine learning (ML) approaches with existing scientific models, often based on differential equations, to help accelerate scientific discovery. You will work alongside hardworking scientific and engineering teams to build machine learning software addressing scientific challenges such as materials discovery, synthetic biology, chemistry, computational fluid dynamics, and climate and weather modeling.

As a Scientific Machine Learning Software Developer, in the Complex Systems Group you will...

• Contribute to and/or lead teams in artificial intelligence, including (but not limited to) the development and testing of prototype software implementing innovative algorithms.

• Design, develop, and deploy software solutions for a variety of exciting projects addressing scientific discovery.

• Co-author and present papers on current research and development activities at external venues.

• Communicate often and effectively with sponsors and APL team members and leadership, by actively participating in the APL data science, analytics, and AI community.

You meet our minimum qualifications for the job if you:

• Have a Bachelor’s Degree in a scientific, mathematic, or engineering field.

• Have at least 1+ years of professional experience.

• Possess excellent programming skills and fluency in Python.

• ​​​Have experience programming with common AI libraries, such as scikit-learn, TensorFlow, or PyTorch; and/or neural network architectures such as CNNs, RNNs, autoencoders, transformers, or multilayer perceptrons.

• Have a willingness to work with and learn from scientific domain experts.

• Have excellent interpersonal, organizational, and communication skills.

• Are able to obtain a Top Secret level 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 will go above and beyond our minimum requirements if you:

• Have a Master’s Degree in a relevant scientific, mathematic, or engineering field.

• Have five or more years of demonstrated experience in developing software for machine learning research.

• Have experience with SciML, e.g. physics-informed neural networks (PINNs), graph neural networks (GNNs), or standard software implementations such as DeepXDE and DGL for Python, and NeuralPDE.jl for Julia.

• Have had courses in scientific areas such as physics, chemistry or biology and related mathematical topics such as differential equations.

​​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.

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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