AI Safety Engineer: Scale Moderation & Guardrails (Remote)

Elevenlabs; Ireland; Remote; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Discretionary stipend

Annual company offsite

Co-working stipend

Learning & development support

Growth opportunities

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to drive the deployment and operation of automated moderation and guardrails across a multimodal platform. You’ll work with ML and full-stack engineers to build production-grade safety infrastructure from the ground up.

This product ownership role focuses on end-to-end technical execution, bridging ML research and production systems, ensuring robust observability and scalable safety features.

Qualifications

• 6+ years of backend software engineering experience.
• Experience tackling free-tier abuse, fraud detection, or bot farming at scale.
• Strong production backend experience: distributed systems, APIs, data pipelines, Python expertise.

Responsibilities

• Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems.
• Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.
• Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks.
• Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite.
• Drive technical decisions and contribute to the safety roadmap for scale and precision.

Skills

Backend development

Python

Distributed systems

Observability

ML/AI systems

Tools

AWS/GCP

Docker

Kubernetes

Prometheus

Grafana

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to drive the deployment and operation of automated moderation and guardrails across a multimodal platform. You’ll work with ML and full-stack engineers to build production-grade safety infrastructure from the ground up.

This product ownership role focuses on end-to-end technical execution, bridging ML research and production systems, ensuring robust observability and scalable safety features.