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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

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Work on an image in-painting project where the research goal is to detect diffusion in-painting where only a part of an image is generated by AI
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This project will involve building a dataset, literature review, replicating previous work and conducting research.
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Propose novel end-to-end solutions and publish the research
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Collaborate with scientists and engineers across the organization
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About You

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PhD student/candidate in Computer Science with experience in AI/deep learning
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Proficient in Python -- OpenCV, PyTorch
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Very strong understanding of data science fundamentals (i.e. not just Neural Networks)
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Solid understanding of standard computer-vision tasks (object detection, image segmentation, keypoint detection, face identification, etc...)
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Strong technical writing skills
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