About Reality Defender
Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.
Role and Responsiblities
Investigate new feature extraction and data augmentation techniques for generative image/video detection
Collaborate with scientists and engineers across the organization
Perform research into deepfake image/video detection
Aid in integrating insights gained from research into RD products
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
Collaborate with scientists and engineers across the organization
About You
PhD in technical field with 2+ years computer vision experience, or masters with 5+ years of experience in computer vision
Experience with publishing academic research
Strong fundamental understanding of diffusion models and current diffusion-based deepfake generation
Have 2+ years of programming experience in Python and in building deep learning models with PyTorch.
Implemented and/or published peer-reviewed research papers in reputable AI research/audio/speech venues, e.g. CVPR, ICLR, NeurIPS
Team player with a positive attitude and good communication skills.
Excited about our line of work and can start immediately
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