Artificial Intelligence; AI Project Leader

Artificial Intelligence (AI) Project Leader

Join to apply for the Artificial Intelligence (AI) Project Leader role at Johns Hopkins Applied Physics Laboratory

Description

Are you passionate about leading teams building solutions for our greatest national security challenges? If so, we're looking for someone like you to join our team in the Analytic Capabilities group of the Asymmetric Operations Sector. We are seeking a project leader to help us build innovative solutions for challenges in national defense. We are looking for a project and technical leader to guide teams of engineers and software developers prototyping and operationalizing state of the art AI solutions.

$/yr - $/yr

• You will build and lead strong teams with APL scientists and engineers to develop and deliver effective AI and data science solutions to civilian and military sponsors
• You will lead the development of new research proposals to pursue high-risk, high-reward ideas and transition successes to real world impact
• You will combine your technical expertise and leadership experience to mentor and grow team members into future leaders
• You will build partnerships with scientists and engineers across APL, the other divisions of JHU, and the wider research community

• Possess a Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field
• Have at least 5 years of project leadership experience in DoD, Cyber, or National Health-based AI, Machine Learning or Data Science settings
• Have project management experience from concept development through execution and close out of large-scale R & D initiatives
• Excellent verbal and written communication skills; strong analytical and organizational skills
• Are able to obtain a TS/SCI level security clearance by your start date and can ultimately obtain a TS/SCI+poly 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.
• Are willing and able to travel to customer sites as needed

• Master’s degree or higher in Computer Science, Mathematics, Engineering, or related field, with emphasis on data science or applied math
• At least 8 years of leadership, software development and/or engineering experience
• Have prior experience with large government research and development programs across multiple military and civilian government agencies

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. 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. APL celebrates differences of perspectives and encourages creativity and bold, new ideas.

Our employees enjoy generous benefits 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://(Use the "Apply for this Job" box below)..

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.

If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations.

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…