Reality Defender

Applied AI Engineer (Audio)

New York, New York, United States

$150,000 – $220,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, CybersecurityIndustries

Position Overview

  • Location Type: Remote
  • Job Type: FullTime
  • Salary: $150K - $220K

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. As a Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Requirements

  • Masters or PhD in Computer Science with specialization in machine learning/deep learning (ML/DL)
  • 2+ years coding experience in Python; Strong programming skills required
  • 2+ years industry experience with model training/finetuning in PyTorch
  • Experience with automated testing and CI/CD concepts in machine learning workflow
  • Strong foundation in machine learning and data science
  • Good communication and inter-personal skills, comfortable with client-facing responsibilities

Responsibilities

  • Train/finetune deep learning models in PyTorch on new datasets and per client requirements
  • Model monitoring and quality assurance for deployed models
  • ML workflow automation and continuous integration/continuous delivery (CI/CD) for client-facing models
  • Adopt standard model optimization/compression methods for inference speed-up
  • Implement model obfuscation and vulnerability checks
  • Collaborate with both AI and Engineering teams for model/infrastructure needs and performance guidance

Company Information

  • About Reality Defender: Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time.
  • Website: https://www.realitydefender.com/
  • Youtube: https://www.youtube.com/watch?v=dQw4w9WgXcQ (Placeholder - Actual YouTube link would be here)
  • Notable Achievements: Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, backed by DCVC, first company to pioneer multi-modal and multi-model detection of AI-generated media.

Skills

Python
PyTorch
Machine Learning
Deep Learning
Model Training
Model Fine-tuning
Automated Testing
CI/CD
Model Optimization
Model Obfuscation

Reality Defender

Deepfake detection for enterprises and governments

About Reality Defender

Reality Defender offers deepfake detection solutions to protect enterprises, platforms, and governments from AI-generated threats. Its detection platform scans images, videos, and audio in real time to identify fabricated content, helping to prevent misinformation. The company stands out by providing enterprise-grade services through a subscription model that allows easy integration into existing systems. The goal is to enhance fraud prevention and maintain the authenticity of digital content for clients.

New York City, New YorkHeadquarters
2018Year Founded
$46.7MTotal Funding
SERIES_ACompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Risks

Free tools like TrueMedia's may undercut Reality Defender's subscription model.
Rapid increase in deepfakes could overwhelm current detection capabilities.
Commoditization of AI tools challenges Reality Defender to update detection algorithms.

Differentiation

Reality Defender offers real-time detection for images, videos, and audio deepfakes.
The platform is government-approved, ensuring high reliability and accuracy for clients.
Reality Defender uses a multi-model approach, enhancing detection capabilities across various media types.

Upsides

Raised $33M in Series A to expand technology and market reach.
Partnership with Respeecher enhances audio deepfake detection capabilities.
Won 'Most Innovative Startup' at RSA Conference 2024, boosting credibility.

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