Demo

Applied Scientist (Core)

Reality Defender
New York, NY Full Time
POSTED ON 4/6/2025
AVAILABLE BEFORE 5/4/2025

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. 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.

Youtube : Reality Defender Wins RSA Most Innovative Startup

Why we stand out :

  • Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality
  • We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.
  • Our platform is designed for ease of use , featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.
  • We're privacy first , ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.

Role and Responsibilities

  • Work with scientists to improve classification performance of deepfake detectors across all modalities (image, video, audio, and text)
  • Build techniques to assess and improve deep learning classifier reliability, including unsupervised bias and adversarial robustness modeling. Independently implement and evaluate ideas on a modern deep learning stack (Python, PyTorch, and GPU-enabled cloud compute).
  • Collaborate with scientists and engineers across the organization.
  • About You

  • PhD or relevant industry experience in computer science, machine learning, or a related field.
  • You have implemented and / or published papers at top AI research venues NeurIPS, ICLR, ICML, etc. In-depth understanding of deep learning research.
  • Excellent software development skills.
  • Team player with a positive attitude and good communication skills.
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