Director of Engineering, Data

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. At the RSA Conference, we were named “Most Innovative Startup 2024” by a panel of esteemed judges for helping enterprise and governments detect deepfakes.

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.

• 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

• 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