
Safety Engineer - Free Tier Abuse
About ElevenLabs
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
• ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
• ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
• ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
How we work
High-velocity
Impact not job titles
AI first
Excellence everywhere
Global team
What we offer
Innovative culture
Growth paths
Learning & development
Social travel
Annual company offsite
Co-working
About the role
What you'll do
• 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.
Requirements
• 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
Bonus
• Trust & Safety, Content Moderation, or Integrity engineering experience
• MLOps experience: deployment, monitoring, and versioning of ML models
• Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures
• Familiarity with React or modern frontend frameworks
Location
Skills
Who can apply
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