MemberofTechnicalStaff,Trust&SafetyEngineer

## Accountabilities Act as a core Trust & Safety engineering partner embedded within product and research teams, supporting safe design and launch of AI systems from early development through production monitoring. Design, build, and maintain safety infrastructure that ensures responsible deployment of generative AI models at large scale. Develop and continuously improve red-teaming systems to identify harmful outputs, policy violations, and adversarial behavior before production release. Translate ambiguous, evolving trust & safety requirements into concrete, scalable technical solutions and enforcement mechanisms. Build internal tooling and systems for content moderation, policy enforcement, abuse detection, and safety evaluation. Collaborate with legal, policy, and product teams to define safety rules, interpret guidelines, and implement technical controls. Work closely with machine learning researchers to evaluate model behavior and improve safety performance across iterations. Contribute to system reliability, performance optimization, logging, monitoring, and incident response for safety-critical infrastructure. Support the development of data pipelines and analytical systems to detect abuse patterns and policy violations at scale. Continuously improve engineering quality, robustness, and maintainability across safety-related codebases and systems. Requirements 3+ years of software engineering experience in production environments, with strong proficiency in Python and/or TypeScript. Experience building and maintaining backend systems, infrastructure, or distributed systems in cloud environments (AWS or GCP). Strong ownership mindset with the ability to design, build, and operate systems end-to-end, including monitoring and incident response. Experience working across the stack, including backend services, internal tooling, data pipelines, and infrastructure debugging. Familiarity with analytics systems or large-scale data infrastructure, ideally involving eve