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Deepfake Jobs (NOW HIRING)

Data Engineer

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 ...

... deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas. * Natural Language Processing: LLMs, text ...

UX Engineer

New York, NY · Remote

$100K - $150K/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 ...

OR · On-site

You will own our editorial roadmap, turning complex, high-stakes security challenges (like voice biometrics, deepfake detection, and identity assurance) into compelling narratives that shape the ...

New

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas. * Natural Language Processing: LLMs, text ...

UX Engineer

New York, NY · On-site

$100K - $150K/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 ...

Score Advisor

Boston, MA · Remote

$20 - $25/hr

... deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 ...

Score Advisor

Boston, MA · On-site

$20 - $25/hr

... deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 ...

Product Manager, Cybersecurity

Boston, MA · On-site

$165K - $170K/yr

... deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 ...

... deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 ...

Showing results 41-60

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 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 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:
Infographic showing various Deepfake job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution.

Data Engineer

Reality Defender

New York, NY • Remote

$140K - $180K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. 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 investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Data Engineer Role.

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and operate the pipelines that move, process, and prepare multi-terabyte and streaming datasets — including audio and video — for Reality Defender's detection models, and you'll work closely with ML engineers and researchers to keep that data flowing reliably at scale. Responsibilities include:

  • Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.

  • Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production environments.

  • Build and maintain distributed data processing jobs using frameworks such as Spark and Ray.

  • Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries, monitoring, and alerting for production pipelines.

  • Administer and tune enterprise databases, including performance tuning, backup/recovery, access control, and scaling strategies.

  • Partner with ML engineers and researchers to support training pipelines, model retraining triggers, feature stores, and other MLOps workflows.

Who you are.
  • Hands-on experience with Kubernetes and AWS, including deploying, scaling, and troubleshooting containerized workloads in production environments.

  • Proficiency with high-performance/distributed computing frameworks such as Spark and Ray for processing large-scale datasets.

  • Experience with workflow orchestration tools such as Airflow (or comparable systems like Dagster, Prefect, or Luigi) to schedule and manage complex data pipelines.

  • Strong programming skills in Python and SQL; experience with Golang is a plus.

  • Demonstrated track record building and operating large-scale data processing pipelines, ideally handling multi-terabyte or streaming datasets.

  • Experience working with audio or video data at scale is a strong plus (e.g., transcoding, feature extraction, or preprocessing pipelines).

  • Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and stream processing, data validation and quality checks).

  • Experience designing and maintaining job orchestration systems, including dependency management, retries, monitoring, and alerting for production pipelines.

  • Bonus: experience orchestrating machine learning workflows (training pipelines, model retraining triggers, feature stores, or MLOps tooling).

What we offer.

Reality Defender offers the following benefits to all our employees, regardless of location:

  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents

  • Dental and Vision plans with 100% premium coverage for employees and their dependents

  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees

  • FSA/HSA and 401k programs

  • Equity compensation

  • 20 days of PTO per year

  • 12 weeks of Parental Leave

  • Learning and Development budget

  • Monthly wellness benefits

  • Annual company-sponsored offsite

For employees working from Reality Defender’s HQ in NYC, we offer the following benefits:

  • Daily in-office lunch through UberEats

  • Commuter benefits

  • Remote Fridays

  • Happy Hours and other local events

Compensation Range: $140K - $180K