Multimedia Exploitation R&D Lead

The Opportunity:

Lead the research initiatives of a team of scientists and analysts who investigate and solve challenging multimedia exploitation problems. Utilize research and development expertise, consulting mindset, and an original approach to work to give clients and stakeholders insights into media analysis and encourage actionable results. Perform forensic analysis and exploitation by leveraging scientific expertise and media analysis tools to digital media. Research and develop novel techniques through algorithm and prototype development in topic areas such as biometric recognition, signal processing, image processing, computer vision, and media geolocation. Analyze scientific publications with a high degree of comprehension, build out concepts from academia into real-world use, and analyze current technology to address specific client missions. Attend conferences and community meetings with multimedia forensics experts and presentfindings and recommendations to non-technical audiences with an emphasis on impacting mission outcomes. Work without considerable direction. Mentor and may supervise team members, including constructive feedback on team members' research proposals and reports.

You Have:

• 5+ years of experience implementing technical prototypes in Python or MATLAB
• 3+ years of experience with multimedia analysis, signal and imaging processing, algorithm development, machine learning, or computer vision
• 3+ years of experience presenting scientific findings and publishing scientific papers in peer-reviewed journals
• 3+ years of experience leading research and development initiatives, including developing, designing, and executing research plans
• Experience mentoring and growing staff
• Secret clearance
• Doctorate degree in Computer Science, Mathematics, Physics, Digital Forensics, or Engineering

Nice If You Have:

• Experience with imagery and media analysis from a forensic perspective
• Experience with analytical image comparison, facial recognition, or facial identification
• Experience integrating commercial or open-source software tools for custom application development
• Knowledge of photographic concepts and basic image science, including multi-media file specifications, formats, and processing
• Possession of excellent verbal and written communication skills
• Possession of excellent entrepreneurial thinking, innovation, and real-world problem-solving skills
• TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance 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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.