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Deepfake Jobs (NOW HIRING)

Reality Defender

Audio/Multimodal AI PhD Intern

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Pindrop

OR

$120K - $158K/yr

As a Senior PMM for Pindrop Pulse, you will own the go-to-market strategy for our deepfake portfolio across Pulse for Meetings and Pulse for Calls. From positioning through pipeline, building the ...

Pindrop

Senior Product Marketing Manager, Pindrop Pulse

$123K - $162K/yr

As a Senior PMM for Pindrop Pulse, you will own the go-to-market strategy for our deepfake portfolio across Pulse for Meetings and Pulse for Calls. From positioning through pipeline, building the ...

Reality Defender

Staff AI Engineer (Audio)

They are seeking a Staff AI Engineer (Audio) to develop and deploy cutting-edge audio deepfake detection models, collaborating with multiple teams to ensure model robustness and performance in real ...

Pindrop

Research Scientist II

As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real ...

Reality Defender

Audio ML Engineer II

New York, NY · Remote

$160K - $210K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Pindrop

Senior Research Scientist

$100K - $128K/yr

As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real ...

Reality Defender

Senior Applied AI Engineer

$165K - $195K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Reality Defender

Staff AI Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Reality Defender

Product Marketing Manager

New York, NY · Remote

$140K - $180K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Reality Defender

Staff ML Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

Reality Defender

Full Stack Engineer

$100K - $180K/yr

Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class ...

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Deepfake information

What is the difference between Deepfake vs Video Editor?

AspectDeepfakeVideo Editor
Required skillsAI, machine learning, video synthesisVideo editing, color correction, storytelling
Work environmentTech labs, AI companies, research settingsMedia production, advertising, film studios
Common industry usageContent manipulation, entertainment, misinformationContent 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 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 deepfake jobs?

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 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.
More about Deepfake jobs
What cities are hiring for Deepfake jobs? Cities with the most Deepfake job openings:
What states have the most Deepfake jobs? States with the most job openings for Deepfake jobs include:
What job categories do people searching Deepfake jobs look for? The top searched job categories for Deepfake jobs are:
Deepfake jobs near you
Infographic showing various Deepfake job openings in the United States as of June 2026, with employment types broken down into 10% Internship, 70% Full Time, 10% Part Time, and 10% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

NIST PREP Software Engineering Student

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$15/hr

Part-time

Posted 5 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: [Computer Scientist ZP-I/Software Engineer (Guardians of Forensic Evidence Project)]
The work will entail: [We are seeking a senior undergraduate or graduate student with strong software engineering skills to support the Guardians of Forensic Evidence Initiative-an effort to strengthen the scientific reliability of AI-based deepfake detection systems used in forensic and judicial contexts.
This role emphasizes AI related software development, evaluation pipeline implementation, AI system benchmarking infrastructure, and web platform development. The selected candidate will contribute directly to the development of the Deepfake Challenge Kit, including dataset management systems, scoring packages, and a secure evaluation website with user authentication and leaderboard functionality.]
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Deepfake and Synthetic Data Generation and Automated Benchmarking Dataset Pipeline Development, including but not limited to: developing automated or semi-automated state-of-the-art deepfake image/audio generation pipelines; implementing metadata handling and dataset validation tools; building infrastructure for deepfake media benchmarking; etc.
  • Deepfake Analytic AI System Implementation: Implement baseline deepfake detection algorithms; design modular, well-documented, and maintainable codebases; deploy deepfake detection tools on Linux servers and GPU clusters; ensure reproducibility and performance optimization; maintain cross-platform compatibility (Linux, macOS, Windows); implement containerized solutions (Docker-based workflows) as needed.
  • Scoring Package & Evaluation Infrastructure: Implement evaluation metrics (ROC curves, AUC, confusion matrices, robustness analysis); develop reproducible evaluation pipelines; conduct quantitative performance analysis across different data subsets.
  • Web Platform Development: Design, implement, and maintain a secure, scalable evaluation web platform that includes a user authentication system (login, registration, role-based access control), a dataset release portal with controlled access, and an admin dashboard for dataset and user management. The technology stack may include (but is not limited to) Python, React or modern JavaScript frameworks, PostgreSQL, Docker, and Linux-based deployment environments.

Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
  • Senior undergraduate or graduate student in Computer Science, Software Engineering, or a related field
  • Strong proficiency in Python to support timely project delivery
  • Experience working in a Linux environment and with shell scripting (Bash) is required
  • Background in media (audio, image, or video) processing and analysis
  • Ability to work independently as well as in collaborative research environments

Furthermore, the following knowledge skills, and abilities are preferred:
  • GPU programming or AI model development experience
  • Experience with web development (HTML, CSS, JavaScript)
  • Experience developing backend services (Flask, Django, FastAPI, Node.js, etc.)
  • Previous experience with generative AI tools, including deepfake technologies and large language models
  • Experience in cross-platform software development (Linux, macOS, Windows)
  • Experience or interest in machine learning and AI system testing and evaluation
  • Experience with database management (e.g., PostgreSQL)
  • Experience with Jupyter Notebooks, R, Shiny, and interactive data visualization

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004317

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