Our companies are made up of insanely talented people driven to change the world — and many of them are hiring. If you have drive, expertise, and a taste for adventure, we wholeheartedly encourage your interest.
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 tdhe 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.
Investigate new methods for generative image/video detection
Collaborate with researchers in the team
Perform research of deepfake image/video detection
Write up results of research for internal reports and submission to academic journals/workshops
Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP
PhD student in a relevant technical field
Experience in computer vision
Proficient in Python and in building deep learning models with PyTorch.
Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS
Team player with a positive attitude and good communication skills.
Excited about our line of work