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.
