Enterprise Deepfake Detection
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.
Work on NLP and NLG approaches for generative text detection esp. from large language models.
Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS.
Collaborate with scientists and engineers across the organization.
Ideally enrolled in a PhD program with a research focus related to NLP.
Very strong understanding of data science fundamentals (i.e. not just Neural Networks!)
In-depth understanding of deep learning research.
Proficiency with Python, PyTorch, AWS
Excellent software engineering skills.
Team player with a positive attitude and good communication skills.
Reality Defender is a rapidly growing technology startup building the future of deepfake detection technology.
You will help create an AI-first state-of-the-art scalable platform that supports multiple AI models processing thousands of user uploaded videos, images and audio files per day in real time.