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
Perform novel research on detecting AI-generated images, with a focus on diffusion techniques
This project will involve building a dataset, literature review, replicating previous work and conducting research.
Propose novel end-to-end solutions and publish the research
Collaborate with scientists and engineers across the organization
About You
PhD student/candidate in Computer Science Enrolled in a PhD program in a technical field (Math, Comp-sci, data science, anything ML-related, etc.).
Ideally with a research focus related to computer vision
Proficient in Python -- OpenCV, PyTorch
Very strong understanding of data science fundamentals (i.e. not just Neural Networks!)
Solid understanding of standard computer-vision tasks (object detection, image segmentation, keypoint detection, face identification, etc.)
Strong technical writing skills
BONUS: Experience with major cloud providers (AWS, GCP or Azure)
United States
