Senior AI Researcher - Remote Sensing Applications

Are you an expert in artificial intelligence (AI), machine learning (ML), or computer vision?

Are you excited by how these rapidly-evolving technologies are transforming the fields of remote sensing and Earth observation?

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

We are seeking a Senior AI Researcher in Remote Sensing Applications to join the Complex Systems Group in the Research & Exploratory Development Department (www.jhuapl.edu/isc). Come help us invent the future of intelligent systems and solve real-world problems of national importance! 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.

We want someone who is highly skilled and motivated to lead and support research projects to strengthen the intelligence gained from multimodal data, including images from Earth-observing satellites. We are particularly interested in improving our sponsors' understanding of climate change, its effect on national and international security, and how it will impact the livelihood of current and future generations.

In this role you will...

• Contribute to and lead research projects in AI/ML, improving our ability to understand, mitigate, and adapt to rapid changes in climate and resultant patterns of human activity.

• Use your skills in deep learning, computer vision, satellite image analysis, and information fusion in novel ways to address challenges determined by sponsor requirements.

• Cultivate a long-term vision for your own research interests and collaborate on technical proposals to bring that vision to reality.

• Work together with other APL researchers to grow and define our portfolio of AI research within the broader scope of intelligence and environmental resilience.

• Communicate research outcomes to internal management, sponsors, and the broader scientific community through papers, presentations, conferences, and technical reports.

You meet our minimum qualifications for the job if you...

• Have a M.S. in a STEM field (e.g., AI, Electrical and/or Computer Engineering, Computer Science, Earth and Atmospheric Sciences, Mathematics, or Physics).

• Have 5+ years of research experience.
• Have demonstrated ability to conduct machine learning research studies, to analyze remote sensing and/or environmental data, and to identify possible solutions to challenging problems given real-world constraints.

• Have strong programming skills and proficiency in commonly-used ML languages such as Python, and ML and data science libraries, such as TensorFlow, PyTorch, and OpenCV.

• Have excellent written and oral communication skills and can articulate complex technical issues for a wide range of audiences.

• The ability to obtain a Secret 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'll go above and beyond our minimum requirements if you...

• Have a Ph.D. in a relevant field.

• Have a track record of publishing your research in scholarly journals or conferences.

• Have been a project manager or led small teams.

• Have experience in writing technical proposals or other forms of business development.

• Have experience with imaging applications for national security.

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.

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.