Yesterday
Top Secret/SCI
Unspecified
Polygraph
Construction/Facilities
Bethesda, MD (On-Site/Office)
Job Number: R0217259
Machine Learning and Computer Vision Expert
The Opportunity:
What if you could use your Machine Learning or Computer Vision background to transform high-risk, high-reward scientific research programs? As a Machine Learning and 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 (IC).
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 Computer Vision Expert who spe cia lizes in the development of image and video analytics and has experience with research and development (R & D) of image processing, to help us advise our government clients' work with research partners that come from academia, other research institutions, and the private industry. You'll work together with a Government Program Manager to deliver technical support and expertise on new concepts bey ond the program but integral to the program's success. We'll look to you to share your machine learning and computer vision expertise through leadership and mentoring junior staff. Join us and take on exciting challenges in the IC.
Join us. The world can't wait.
You Have:
Nice If You Have:
Clearance:
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.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $110,100.00 to $250,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Machine Learning and Computer Vision Expert
The Opportunity:
What if you could use your Machine Learning or Computer Vision background to transform high-risk, high-reward scientific research programs? As a Machine Learning and 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 (IC).
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 Computer Vision Expert who spe cia lizes in the development of image and video analytics and has experience with research and development (R & D) of image processing, to help us advise our government clients' work with research partners that come from academia, other research institutions, and the private industry. You'll work together with a Government Program Manager to deliver technical support and expertise on new concepts bey ond the program but integral to the program's success. We'll look to you to share your machine learning and computer vision expertise through leadership and mentoring junior staff. Join us and take on exciting challenges in the IC.
Join us. The world can't wait.
You Have:
- Experience in the development of image and video analytics
- Experience with large systems sof tware design and development, integration support of systems or sof tware development projects, visualization, test driven development, automated unit testing, and data and configuration management
- Experience with R & D of image processing, computer vision, or sof tware engineering
- Experience managing a multi-disciplinary R & D or Test and Evaluation ( T & E ) team
- Experience with R & D of machine learning or deep neural network algorithms
- Experience creating program plans, work breakdown structures, and milestone schedules
- Experience with technical evaluation and assessment techniques
- Experience with Agile program management and systems development processes, including integrated testing
- TS/SCI clearance with a polygraph
- Bachelor's degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics, Systems Engineering, Mechanical Engineering, or Sof tware Engineering, and 5+ years of experience working in a professional environment, or Master's degree and 3+ years of experience working in a professional environment
Nice If You Have:
- Experience with multiview geometry
- Experience with optical sensor hardware
- Experience with Unmanned Aerial Vehicles ( UAVs )
- Experience in the IC, including with requirements, CONOPS, and transition
- Experience planning, organizing, and executing field data collections
- Experience with the utilization, development, and management of commer cia l cloud environments
- Experience as a Project Manager or Deputy Project Manager
- Experience in remote sensing, image compression, enhancement of Noisy or Degraded imagery and metadata, optical sensor integration, classified research, probability or operations research, statistical analysis, or Neural Radiance Field ( NeRF ) modeling
- Master's degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics, Systems Engineering, Mechanical Engineering, or Sof tware Engineering, preferred; Doctorate degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics, Systems Engineering, Mechanical Engineering, or Sof tware Engineering, a plus
- Agile Management Certification such as SaFE Scaled Agilist ( SA ) , PMI Agile Certified Practitioner ( PMI-ACP ) , or Scrum Master Certification
Clearance:
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.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $110,100.00 to $250,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
group id: booz
At Booz Allen, you’ll work at the forefront of advanced technology to uncover and solve the emerging challenges of our time. Change is within reach—and it starts with you.
