Principal Applied Scientist

As the advertising ecosystem expands, sophisticated adversarial actors are leveraging generative AI, automation, and distributed infrastructure to bypass safety controls. The Ads Trust and Safety team requires a Principal Applied Scientist to contribute to the research and technical strategy for Threat Modelling team. We are looking for a security domain expert who can advance the state of the art in Threat Modeling, and Adversarial Defense. This role involves transitioning trust mechanisms from static verification to dynamic, behavioral-based integrity systems. You will architect solutions to detect and neutralize high-complexity fraud vectors eg phishing, Payment fraud, cloaking, malware distribution, token misuse, and authentication etc ensuring the ads platform remains safe for users, advertisers and publishers. The primary success metric is the robust identification and mitigation of advanced abuse vectors with minimal impact on legitimate advertiser friction and ad-serving latency.