Safety Engineer - Free Tier Abuse

Ovii's Interpretation of the Role

ElevenLabs seeks an experienced AI Safety Engineer to design, build, and operate backend systems that detect and prevent abuse of its free‑tier services. The role owns end‑to‑end technical delivery, from architecture through deployment, monitoring, and scaling of AI‑driven moderation pipelines.

Role Snapshot

• AI Safety Engineer
• Backend infrastructure
• Abuse detection
• Scalable systems
• Observability
• ML production integration
• Remote (global)

Must-Have Requirements

• Python (asynchronous)
• Distributed systems
• APIs & data pipelines
• AWS or GCP cloud platforms
• Docker/Kubernetes containerization
• CI/CD pipeline experience
• Prometheus/Grafana observability
• backend production systems at scale
• distributed systems and APIs
• abuse/fraud detection

Nice-to-Have Signals

• Trust & Safety or Content Moderation background
• MLOps (model deployment & monitoring)
• SQL data analysis
• Kafka or Redis streaming
• React or modern frontend frameworks
• trust & safety or content moderation
• MLOps and model monitoring

Work Setup

• Location: United Kingdom
• Work mode: REMOTE
• Remote scope: GLOBAL
• Remote countries: United Kingdom, Dublin, Ireland, Tokyo, Japan, United States, New York, Los Angeles, Warsaw, Poland, London, Boston, San Francisco, Washington, D.C
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Notice period
• Coding test

What You'll Likely Work On

• Design and implement scalable backend services for real‑time and batch abuse detection.
• Build robust APIs, data pipelines, and event‑driven architectures that integrate ML models.
• Create observability stacks with SLIs, SLOs, alerts, and dashboards using Prometheus and Grafana.
• Collaborate with ML engineers to transition research models into production‑ready guardrails.
• Define and evolve the safety roadmap, shaping next‑generation platform protection strategies.

Good Fit If You Have

• Experience in trust & safety, content moderation, or integrity engineering.
• Hands‑on MLOps work, including model versioning and monitoring.
• Familiarity with streaming platforms such as Kafka or Redis.
• Exposure to modern frontend frameworks like React.