Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques. * Experience with AI or computer vision frameworks e.g., OpenCV, TensorFlow, PyTorch * Knowledge of metadata ...
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Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques. * Experience with AI or computer vision frameworks e.g., OpenCV, TensorFlow, PyTorch * Knowledge of metadata ...
Distinguished Engineer, AI Threat Defense
Richmond, VA · On-site
$58.25 - $77.75/hr
Own Thomson Reuters' monitoring and response strategy against AI-specific attack vectors including prompt injection, Model Context Protocol (MCP) exploitation, agentic system compromise, deepfake ...
Distinguished Engineer, AI Threat Defense
Richmond, VA · On-site
$58.25 - $77.75/hr
Own Thomson Reuters' monitoring and response strategy against AI-specific attack vectors including prompt injection, Model Context Protocol (MCP) exploitation, agentic system compromise, deepfake ...
Deepfake information
What is a deepfake?
Deepfake jobs involve the creation, manipulation, or detection of synthetic media in which a person in an existing image or video is replaced with someone else's likeness using artificial intelligence and machine learning techniques. These roles can include developing deepfake technology, producing content for entertainment or research, and designing tools to detect or prevent malicious use. Professionals in this area often work in AI research, cybersecurity, media production, or digital forensics. The growing prevalence of deepfakes has led to increased demand for experts who can help identify and mitigate the risks associated with this technology.
What are the key skills and qualifications needed to thrive as a deepfake specialist, and why are they important?
To thrive as a Deepfake Specialist, you need a strong background in computer vision, machine learning, and video editing, often supported by a degree in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), generative adversarial networks (GANs), and advanced video editing software is typically required. Creativity, attention to detail, and ethical judgment are essential soft skills that help ensure responsible and high-quality work. These skills are crucial for producing convincing deepfakes while navigating the ethical challenges and technical complexities of this rapidly evolving field.
What are some common challenges faced by professionals working in deepfake technology, and how can they be addressed?
Professionals working in deepfake technology often encounter challenges such as rapidly evolving detection methods, ethical considerations, and the need to stay updated on the latest AI and machine learning advancements. Navigating the fine line between creative innovation and responsible use is crucial, as misuse of deepfakes can have serious consequences. Collaboration with legal, ethical, and technical teams is common to ensure compliance and mitigate risks. Staying informed through continuous learning and networking with industry peers can help address these challenges and support professional growth.
What is the difference between Deepfake vs Video Editor?
| Aspect | Deepfake | Video Editor |
|---|---|---|
| Required skills | AI, machine learning, video synthesis | Video editing, color correction, storytelling |
| Work environment | Tech labs, AI companies, research settings | Media production, advertising, film studios |
| Common industry usage | Content manipulation, entertainment, misinformation | Content creation, post-production, broadcasting |
Deepfake involves using AI and machine learning to create realistic synthetic videos, often for entertainment or malicious purposes. Video editors focus on editing existing footage to enhance or alter videos for media production. While both work with video content, deepfake emphasizes AI-driven synthesis, whereas video editing centers on traditional editing techniques.
What are popular job titles related to Deepfake jobs in Virginia?
For Deepfake jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Deepfake jobs in Virginia look for?
The top searched job categories for Deepfake jobs in Virginia are:
Full-time
Posted 8 days ago
Job description
Benefits
This customer has a mission-critical initiative to provide the Agency and its partners with actionable intelligence through the comprehensive technical exploitation of digital devices, multimedia content, and diverse data sources. The work centers on delivering timely, technically defensible, and operationally relevant intelligence while maintaining strict asset accountability, high security, continuous technical innovation, and proactive collaboration with customers to ensure the produced intelligence products directly supports strategic, operational, and tactical decision-making requirements.Why Join Us?
- Competitive salary
- Performance-based incentives
- Professional development and certification opportunities
- Career advancement opportunities
- Supportive, mission-focused work environment
We are seeking a highly skilled Multimedia Intelligence Analyst who specializes in Document and Media Exploitation (DOMEX). This analyst will analyze, interpret, and extract actionable intelligence from diverse media sources, including video, audio, and image data. This role supports mission-critical decision-making by transforming multimedia information into structured, actionable insights. The ideal candidate combines technical expertise, analytical acumen, and a rigorous approach to data assessment.
Responsibilities- Multimedia Analysis: Review, process, and analyze video footage, audio recordings, and images from diverse sources for intelligence collection.
- Data Interpretation: Identify people, objects, locations, events, and patterns of interest through advanced analytical techniques.
- Reporting & Documentation: Compile findings into clear, actionable intelligence reports, visual summaries, and briefings.
- Tool Utilization: Leverage AI assisted image and video recognition tools, audio analysis software, geospatial intelligence platforms, and other specialized analytical applications.
- Collaboration: Work closely with intelligence teams, field operators, and subject matter experts to provide timely insights.
- Trend Tracking: Monitor, detect, and interpret emerging threats or anomalies within multimedia datasets.
- Compliance & Security: Ensure that all analysis adheres to relevant legal frameworks, privacy policies, and cybersecurity protocols.
- Bachelor’s degree in Computer Science, Data Science, Multimedia Forensics, Electrical Engineering, or related field. Advanced degrees preferred.
- Required Experience: Minimum 8 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
- Proven experience in DOMEX to include video, audio, and image analysis in an operational or research environment.
- Strong familiarity with multimedia processing techniques, including machine learning-based recognition, signal processing, and digital forensics.
- Ability to operate intelligence software tools and GIS platforms.
- Excellent written and verbal communication skills for concise and accurate reporting.
- Strong attention to detail, critical thinking, and problem-solving capability.
- Applicant must have and maintain a Top Secret (TS)/Sensitive Compartmented Information (SCI) with Counterintelligence (CI) Polygraph clearance.
- Certification through the International Society of Forensic Computer Examiners (ISFCE) or the International Association of Computer Investigative Specialists (IACIS) is preferred.
- Desired Experience: 12+ years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
- Desired Education: Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education;
- -or- have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.
- Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques.
- Experience with AI or computer vision frameworks e.g., OpenCV, TensorFlow, PyTorch
- Knowledge of metadata extraction, deepfake detection, and audio enhancement techniques.
- Familiarity with geospatial intelligence (GEOINT) or open-source intelligence (OSINT) methodologies.
- Prior military, Government, or Intelligence Community (IC) experience is a plus.
This customer has a mission-critical initiative to provide the Agency and its partners with actionable intelligence through the comprehensive technical exploitation of digital devices, multimedia content, and diverse data sources. The work centers on delivering timely, technically defensible, and operationally relevant intelligence while maintaining strict asset accountability, high security, continuous technical innovation, and proactive collaboration with customers to ensure the produced intelligence products directly supports strategic, operational, and tactical decision-making requirements.Why Join Us?
Join a team dedicated to improving defense readiness, workforce performance, safety, and operational effectiveness. In this role, you will have the opportunity to shape training programs that develop the knowledge and skills of military, technical, and defense personnel.
Equal Opportunity EmployerWe are an Equal Opportunity Employer and encourage qualified candidates of all backgrounds to apply.
This position is contigent upon contract award.
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