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 Responsibilities

• Develop techniques for detecting diffusion-generated images

• 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 a technical field

• In-depth understanding of deep learning research, with strong understanding of diffusion models

• Publications in top-tier journals or conferences would be a plus

• Excellent software engineering skills

• Team player with a positive attitude and good communication skills