What if you could use your Video Analytics, Machine Learning and/or Computer Vision background to transform high-risk, high-reward scientific research programs? As a Machine Learning and/or Computer Vision professional, you understand the power behind complex systems. That knowledge is key when it comes to help shape and guide advanced research programs for the Intelligence Community. We re looking for expertise in video analytics, computer vision, AI/machine learning, electronics, and optics to help Government Program Managers run successful research programs.
Our team of scientists provide Systems Engineering and Technical Assistance (SETA) support to programs that have the potential to provide our nation with an overwhelming intelligence advantage. That s why we need you, a Machine Learning and/or Computer Vision expert, who specializes in the development of image and video analytics, experience with R&D of image processing, and computer vision, to help us advise our Government clients work with research partners that come from Academia, other research institutions, and private industry. You ll work hand in hand with the Government Program Manager to deliver technical support and expertise on new concepts beyond the Program but integral to the Program s success. We ll look to you to share your Machine Learning and/or Computer Vision expertise through leadership and mentoring junior staff. Join us and take on exciting challenges in the Intelligence Community.
Empower change with us.
2 years of experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition
2 years of experience in video analytics, computer vision, AI/machine learning, electronics, or optics
1 year of experience managing a multi-disciplinary research and development (R&D) or test and evaluation (T&E) team
Ability to proactively manage multiple, concurrent tasks
TS/SCI clearance with a polygraph
Bachelor's degree and 4+ years of experience working in physics, mathematics, computer science, or engineering fields in a professional environment or Master's degree and 2+ years of experience working in physics, mathematics, computer science, or engineering fields in a professional environment
Nice If You Have:
4 years of experience in video analytics, computer vision, AI/machine learning, electronics, or optics
1 year of experience with R&D of machine learning or deep neural network algorithms
PhD degree in Physics, Mathematics, CS or Engineering
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Build Your Career:
When you join Booz Allen, you ll have the opportunity to connect with other professionals doing similar work across multiple markets. You ll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you will have access to a wealth of training resources through our Engineering & Science University, an online learning portal where you can access more than 5000 tech courses, certifications and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site courses, vendor relationships, and a network of experts who can give you helpful tips. We ll help you develop the career you want as you chart your own course for success.
We re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.