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Deepfake Jobs in California (NOW HIRING)

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more. Hive has raised over $120M in capital from leading investors ...

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more. Hive has raised over $120M in capital from leading investors ...

Research Engineer - Ads Integrity

San Jose, CA · On-site

$156K - $316K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Responsibilities 1. Research and develop cutting-edge generative AI technologies, including LLMs, multimodal models (text/image/video), and deepfake detection/synthesis, optimizing performance across ...

You'll be the on-camera talent creating raw, authoritative content - tearing down piracy rings, explaining deepfake threats, and showing the world the power of the "Delete Button." * Event Activation:

Hive empowers customers with a portfolio of best-in-class, pre-trained AI models to solve urgent challenges in content moderation, deepfake detection, digital child safety, intellectual property ...

Customer Success Lead

San Francisco, CA · On-site

$110K - $170K/yr

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement and more. Hive has raised over $120M in capital from leading investors ...

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more. Hive has raised over $120M in capital from leading investors ...

Customer Success Lead

San Francisco, CA · On-site

$110K - $170K/yr

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement and more. Hive has raised over $120M in capital from leading investors ...

Conduct rigorous, multi-system investigations: connect signals across surfaces and stakeholders on complex or novel case types (LLM hallucinations, AI agent misbehavior, deepfake/synthetic media ...

Hive empowers customers with a portfolio of best-in-class, pre-trained AI models to solve urgent challenges in content moderation, deepfake detection, digital child safety, intellectual property ...

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more. Hive has raised over $120M in capital from leading investors ...

Customer Success Lead

San Francisco, CA · On-site

$110K - $170K/yr

Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement and more. Hive has raised over $120M in capital from leading investors ...

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Showing results 1-20

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.

What job categories do people searching Deepfake jobs in California look for?

The top searched job categories for Deepfake jobs in California are:

What cities in California are hiring for Deepfake jobs?

Cities in California with the most Deepfake job openings:

Infographic showing various Deepfake job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Product Lead, Deepfake Detection

Resemble AI

Mountain View, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Resemble AI is at the cutting edge of Generative Voice AI, creating immersive and innovative voice solutions. They are seeking a Product Lead for Deepfake Detection to manage enterprise customer relationships and convert customer needs into actionable roadmaps.
Responsibilities:
• Own enterprise customer relationships (telco-scale) for detection: discovery → rollout → expansion.
• Convert customer needs into a crisp roadmap: PRDs, prioritization, tradeoffs, delivery milestones.
• Use GenAI tools to operate faster across customer + product work: summarize complex threads, draft PRDs and integration plans, synthesize requirements, create enablement content, and analyze usage/support signals—while ensuring accuracy and confidentiality.
• Lead technical + product conversations with customer engineering/security stakeholders.
• Build repeatable integration playbooks, success metrics, and rollout templates.
Qualifications:
Required:
• Strong GenAI product fluency: you can use GenAI tools to synthesize ambiguous customer input into clear requirements and crisp documentation, and you know how to validate outputs and handle sensitive information.
• Technical background (engineering / solutions engineering) + strong product instincts.
• Excellent stakeholder management and customer communication.
• Strong writing: PRDs, decision docs, integration plans, postmortems.
• Commercial awareness: adoption, expansion, repeatability.
Preferred:
• Experience building “productized” enterprise integrations and playbooks.
• Familiarity with security/fraud/trust & safety.
Company:
Resemble AI creates custom voices using proprietary deep-learning models that can produce realistic speech synthesis. Founded in 2018, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.