Reality Defender

Applied Scientist Intern (Audio Language Modeling)

New York, New York, United States

Not SpecifiedCompensation
InternshipExperience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, CybersecurityIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not Specified

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.

Responsibilities

  • Explore and conceptualize novel methods to leverage different modalities (e.g., speech, text) for deepfake detection and relevant audio understanding tasks.
  • Perform fundamental and applied research to advance the current state-of-the-art on audio deepfake detection.
  • Build models with generalizability to unseen generative methods.
  • Collaborate with scientists and engineers across the organization.
  • Summarize, publish, and present research findings.

Requirements

  • Currently enrolled in a PhD program with specialization in machine learning/deep learning, natural language processing, and/or speech processing.
  • 2+ years of experience with training/fine-tuning large models, esp. audio language models, speech foundation models, multi-modal foundation models.
  • Experience with end-to-end model building pipeline for ML tasks: dataset curation/cleaning, model implementation, benchmarking, and result analysis.
  • Familiarity with distributed multi-GPU training.
  • Prior experience with publications in reputable ML/Audio/NLP research venues, e.g., NeurIPS, Interspeech, ICASSP, ACL, EMNLP.

Company Information

Skills

Machine Learning
Deep Learning
Natural Language Processing
Speech Processing
Audio Language Models
Speech Foundation Models
Multi-modal Foundation Models
Distributed Multi-GPU Training
Model Building
Dataset Curation
Benchmarking
Result Analysis

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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