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Deepfake Jobs (NOW HIRING)

Reality Defender

Product Marketing Manager

New York, NY · On-site

$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 ...

Pindrop

OR · On-site

Phoneprint, deepfake detection, carrier data signals, GenAI-powered fraud analysis - into evidence-led value-based storytelling that resonates with CISOs, fraud executives, and contact center leaders.

Pindrop

Senior Software Engineer (Authentication)

$125K - $165K/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 ...

Pindrop

Business Development Representative

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 ...

Pindrop

Senior Solutions Engineer

OR · Remote

$55.25 - $71.25/hr

Our patented voice, video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven ...

Pindrop

Lead Marketing Web Engineer/Developer

Pindrop is a leading company in identity trust solutions for the AI era, focusing on continuous identity verification and deepfake detection. They are seeking a Lead Marketing Web Engineer/Developer ...

DeleteMe

Senior Software Engineer

Boston, MA · On-site +1

$175K - $180K/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 ...

DeleteMe

Senior Software Engineer

Boston, MA · On-site

$175K - $180K/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 ...

Pindrop

Senior Solutions Engineer

$56.50 - $73/hr

Pindrop is the Real Human + Right Human ® Identity Trust Platform for the AI era, delivering continuous identity verification and deepfake detection across various interactions. The Senior Solutions ...

Loti AI

Staff Platform Engineer

Our services include fake account detection, deepfake identification, and automated takedown engines. Loti AI, Inc. is seeking a highly skilled and motivated Staff Platform Engineer to provide ...

Pindrop

Senior Software Engineer (Authentication)

$125K - $165K/yr

... deepfake detection signals, or ML‑driven policies) by collaborating with Research, MLOps, and Protect/Passport teams, and help productionize these models into scalable, observable services. • Use ...

Pindrop

Senior Software Engineer (Pulse)

$125K - $165K/yr

Pindrop is the Real Human + Right Human ® Identity Trust Platform for the AI era, delivering continuous identity verification and deepfake detection. The Senior Software Engineer will design and ...

DeleteMe

Devops Team Lead

Boston, MA · On-site

$125K - $145K/yr

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

New

DeleteMe

Devops Team Lead

Boston, MA · Remote

$125K - $145K/yr

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

New

10a Labs

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 ...

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All JobsDeepfake Jobs

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 July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 63% In-person, 6% Hybrid, and 31% Remote job distribution.
[2026] Senior Machine Learning Engineer, Account Identity - PhD Early Career

[2026] Senior Machine Learning Engineer, Account Identity - PhD Early Career

Roblox

San Mateo, CA • On-site

$119K - $163K/yr

Other

Re-posted 15 days ago

Job description

WHY SAFETY?

At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world.

WHY ACCOUNT IDENTITY?
Safety and Civility is Roblox's #1 priority. Our mission is to keep the platform secure by establishing a deep understanding of our users. As a Senior Machine Learning Engineer within the Account Identity team, you will be instrumental in developing our in-house Facial Age Estimation product and centralizing age assurance controls. If you are passionate about solving complex, high-impact problems in an adversarial landscape, this is the team for you.

You Will:

  • Develop cutting-edge defenses against complex fraud and identity spoofing, such as deepfake detection and facial representation systems, utilizing modern architectures like Vision-Language Models (VLMs) and multimodal learning.
  • Build high-precision facial age estimation and real-time liveness checks that form the critical foundation of a safe, trusted platform for users.

You Have:

  • Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas.
  • Expertise in one or more areas: computer vision, multimodal learning, deepfake detection, facial representation, adversarial machine learning, or VLM/LLM.
  • Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems
  • Experience working with large-scale data logs and tools like Spark and SQL to extract meaningful behavioral features.
  • The ability to build and productionize end-to-end ML development life cycles, including data engineering and scoring algorithms.

You Are:

  • Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats.
  • Analytical: Excited to investigate large, ambiguous datasets to find the "signal in the noise" of billions of accounts.
  • User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members.
  • Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment.
  • Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely.

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

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