Description
We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space.
This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and to monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.
Key responsibilities include designing and building scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems, architecting robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows, implementing comprehensive monitoring, alerting, and observability systems, establishing SLIs, SLOs, and performance benchmarks, partnering with ML engineers to translate research models into production-ready systems and integrate them across our product suite, and driving technical decisions and contributing vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.
Requirements include 6+ years of backend software engineering experience building production systems at scale, strong production backend experience, infrastructure & DevOps proficiency, observability mindset, and track record of taking products or systems from 0→1 with measurable impact.