About Reality Defender
Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.
Youtube: Reality Defender Wins RSA Most Innovative Startup
Why we stand out:
Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality
We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.
Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.
We’re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.
Responsibilities
Lead the design, build, and scaling of our backend data infrastructure (across data acquisition, pipelines, and warehousing) using the latest data engineering technologies to ensure the data platform is reliable, extendable, and performant
Responsible for creating, generating, acquiring, cleaning and analyzing data that is used in generating models for detecting deepfakes across different modalities including Video, Image, Audio and Text
Must have an understanding of video, image, and audio file formats, including compression techniques, codec standards, metadata handling, and the implications for quality and compatibility across different platforms and devices, as well as the implications for training models against those formats.
Provide Data Engineering teams with leadership, mentoring, and management. Focus on developing and sustaining robust, scalable AI platforms and capabilities
Cross-functional collaboration across the organization working with Product, Applied Science, Applied Engineering, Platform & Product Engineering teams
Qualifications
BS (MS preferred) in Computer Science of related Field
Over 10+ years in technology leadership roles, including experience leading Data Engineering, with a successful track record in guiding and managing multifaceted teams and a passion for innovation
Experience with hands on development of datasets, data engineering, and related tools
You will be responsible for architecting and updating infrastructure needs, handling real time data processing, and must have an understanding of machine learning and AI, building infrastructure, services, and scalable technology stacks
Exceptional communication ability; fostering collaboration and empathy across the organization with both internal and external stakeholders. Ability to engage and motivate a distributed, mission-oriented team
