Security Engineer, Trust & Safety - Applied AI

Job description

Meta is seeking Security Engineers with Trust & Safety expertise to join our Applied Artificial Intelligence (AAI) organization. You will apply deep domain expertise in online abuse and adversarial behavior, across areas such as child safety, human exploitation, fraud and scams, violent extremism, and coordinated inauthentic behavior, to advance what AI systems can do in Trust & Safety. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement. The problems here are the ones where abuse comes from behavior, context, and scale rather than a software defect: a model that overtrusts an asserted authorization, an agent pressured into a policy exception, a campaign in which every artifact looks benign on its own. Models recognize public benchmarks far more readily than internal ones, so building evaluations that hold up is part of the engineering process. This role is for Trust & Safety practitioners who want to operate at the intersection of deep domain expertise and frontier AI, not just applying AI to protect from and prevent adversarial behavior, but shaping what it is capable of.