Description Do you love to push the bounds of applying artificial intelligence (AI) and machine learning (ML) in safety critical applications? Are you passionate about researching the hardest cyber security problems and collaborating with outstanding reverse engineers to build proof-of-concept capabilities?? Do you like contributing to research in decision making under uncertainty? If so, we're looking for someone like you to join our team at APL. We are seeking an AI/ML Decision Science Research Engineer to help us create game-changing capabilities that enable U.S. infrastructure to be robust in the face of complex threats and determined adversaries. As a member of our team, you'll contribute to the implementation of cyber-physical systems (CPS) that incorporate AI/ML algorithms to assist in, and automate, critical decision making. You will be joining a hardworking team of engineers and scientists who design, build, hack, destroy, and invent capabilities to advance the state of the art in industrial control system (ICS) resilience. We are passionate about continuously deploying our work into operational facilities to truly support our sponsors’ missions. Our team is committed to protecting U.S. citizens daily, as they fly in our national airspace and rely on the availability and safe delivery of resources such as energy and water, as well as develop proof-of-concept offensive cyber capabilities with a focus on industrial systems. As an AI/ML decision science research engineer... Your primary responsibility will be to advance the state-of-the-art in decision making under uncertainty by applying AI/ML in life critical domains. You will help define the research direction by innovating at the intersection of CPS and AI/ML, by defining intermediate milestones to achieve long-term ambitious goals. You will work closely with researchers to test, deploy, maintain, and enhance software integrated with cyber-physical system testbeds and develop demonstrations. You will develop and present proposals, briefings, and reports to technical specialists, collaborators, and sponsors to influence important decisions. Qualifications You meet our minimum qualifications for the job if you... Possess a Bachelors in computer science, electrical engineering, AI/ML, data science, applied mathematics, statistics, or another technical field. Have 8+ years of experience working with models and simulations to support decision making under uncertainty, and designing, debugging, and validating ML algorithms. Are skilled in prototype implementations based on research publications and are familiar with the literature. Have hands-on experience with deep learning tools such as TensorFlow, PyTorch, or Keras. Are proficient in software engineering and developing and debugging in Python, MATLAB, Java, C/C++, C#, Rust, or Julia. Have experience leading teams of researchers or engineers Are able to obtain an 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... Have multiple published first-author papers at top-tier ML/AI conferences/journals. Are experienced with writing government or corporate grant proposals. 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 http://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. 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 $90,000 Annually Maximum Rate $330,000 Annually