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Safety Engineer - Free Tier Abuse

ElevenLabs· Engineering & Product
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RemoteFull-timePosted 8mo ago

About the role

Experienced AI Safety Engineer focused on deployment and operationalization of automated moderation and guardrail systems to protect ElevenLabs’ platform and users, with emphasis on detecting and preventing abuse of free tiers. Product ownership role bridging ML research and production-grade safety infrastructure.

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 vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.

Qualifications

  • Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale
  • 6+ years of backend software engineering experience building production systems at scale
  • Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks)
  • Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines
  • Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems
  • Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production

Skills

Required:Backend engineeringPython (asynchronous)Distributed systemsCloud platformsContainerization & CI/CDObservability
Nice to have:MLOps (bonus)

Benefits

  • Innovative culture: opportunity to define the trajectory of AI
  • Growth paths with opportunities to drive impact
  • Learning & development: annual discretionary stipend
  • Social travel: annual discretionary stipend
  • Annual company offsite in new location
  • Co-working stipend if not near main hubs
Last updated Oct 8, 2026. Interested? Apply on the company site.
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