Reality Defender is a groundbreaking security and award winning (awarded most innovative startup at RSA 24) 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.
PhD or equivalent experience in computer science, machine learning, or a related field.
You have implemented and/or published papers at top AI research venues ACL, EMNLP, NAACL, etc.
In-depth understanding of deep learning research.
Excellent software engineering skills.
Team player with a positive attitude, self-starter and good communication skills.
Yearly based
Remote | USA Only
