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ElevenLabs

Senior

Own production-grade safety infrastructure for ElevenLabs' multimodal AI platform

ElevenLabs is hiring a Safety Engineer to build and operate the backend infrastructure behind content moderation, abuse detection, and agent guardrails across its voice, chat, and creative AI products. This is a 0-to-1 product-ownership role spanning architecture, deployment, and observability for safety systems at scale.

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What this interview tests

  • Backend architecture for content moderation/abuse detection at scale
  • Production ML deployment (bridging ML research to production systems)
  • Observability: SLIs/SLOs, monitoring, alerting (Prometheus/Grafana)
  • Cloud infra & DevOps (AWS/GCP, Docker/K8s, CI/CD)
  • API and data pipeline design for real-time + batch workflows
  • 0-to-1 ownership and technical roadmap-setting

Common question themes

Walk through a safety/moderation system you built from architecture to deployment to monitoring

How would you design guardrails for a multimodal (voice/chat/agent) product?

Designing SLIs/SLOs for a real-time moderation pipeline

Integrating an ML model into a production backend service — what changes on the engineering side

Handling real-time vs batch workflows in the same system

Trust & safety / content moderation experience (if applicable)

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