Description
Are you passionate about building solutions for our greatest national security challenges?
Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?
Do you value working in a creative and collaborative environment?
If so, we're looking for someone like you to join our team at APL.
The Threat Analytic Systems (QAI) Group wants talented staff who can work as part of a team to provide our nation with ground-breaking capabilities that bridge the gaps between data, real-world events and people, and prediction of events of national importance. We need talented engineers, scientists, and developers with curiosity and a drive for learning!
As a member of our team, you will... Apply knowledge in quantitative analysis, data science, and statistical modeling to solve difficult data analysis problems for our sponsors.Collaborate with Laboratory and sponsor teams to address critical sponsor needs.Effectively communicate results with non-expert audiences and generate innovative ideas to benefit the nation.Work independently and on teams to develop automated solutions for sponsor mission challenges. Advise and lead large AI teams.Survey academic research and maintain/gain the technical edge required for projects. Share and develop new approaches and methods. Qualifications You'll meet our minimum requirements if you have... MS or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering fieldDemonstrated expertise in at least one of the following areas: statistical analysis, machine learning or deep learning, natural language processing, reasoning Desire to quickly learn, research, and develop in the above areas Comfort working with loosely defined or high-level requirements Ability to work on and set priorities for multiple dynamic projects to support evolving national security requirements Strong problem solving, analytical, and organizational skillsDemonstrated initiativeExperience working successfully independently or within a team environmentExperience leading teamsExcellent written and verbal communication skillsEligibility to obtain a Secret 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... A PhD in a relevant field, along with experience with data-driven predictive model development. Understanding of common machine learning algorithms and methods used to parse and analyze data as well as ability to rapidly prototype. Expertise with programming languages such as C#, C++, and Python. Demonstrated ability to lead development/research projects. Active or current Top Secret/SCI security clearance. 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 ******. 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