Job Description
Ovii's Interpretation of the Role
ElevenLabs seeks an experienced AI Safety Engineer to own the end‑to‑end delivery of moderation and guardrail systems. You will design, build, and monitor production‑grade backend infrastructure that bridges ML research and real‑world product safety.
Role Snapshot
- AI safety product ownership
- Backend systems design & implementation
- Scalable distributed architecture
- Observability & monitoring
- Collaboration with ML engineers
Must-Have Requirements
- Backend software engineering
- Distributed systems
- APIs
- Data pipelines
- Python (asynchronous)
- AWS or GCP
- Docker/Kubernetes
- CI/CD pipelines
- Prometheus
- Grafana
- backend engineering
- distributed systems
- Python
- cloud platforms
- DevOps
Nice-to-Have Signals
- Trust & Safety / Content Moderation
- MLOps
- SQL
- Kafka
- Redis
- Event‑driven architectures
- React or modern frontend frameworks
- trust & safety
- content moderation
- data analysis
- frontend familiarity
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
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design and build scalable backend services for content moderation, abuse detection, and agent guardrails
- Architect robust APIs and data pipelines that support real‑time and batch moderation workflows
- Implement end‑to‑end observability, including monitoring, alerting, SLIs, SLOs, and performance benchmarks
- Partner with ML engineers to turn research models into production‑ready, integrated safety components
- Drive technical decisions and shape the safety roadmap for next‑generation platform guardrails
Good Fit If You Have
- Enjoys rapid experimentation and high‑velocity delivery
- Thrives in a product‑first mindset without rigid job titles
- Comfortable working in a globally distributed, remote‑first team
Skills
- Python (asynchronous) & backend frameworks
- Distributed systems, APIs & data pipelines
- AWS or GCP cloud platforms
- Docker/Kubernetes containerization
- CI/CD pipeline automation
- Prometheus & Grafana monitoring
- Trust & Safety / Content Moderation (preferred)
- MLOps, model versioning & deployment (preferred)
- SQL, Kafka, Redis, event‑driven architectures (preferred)
- React or modern frontend frameworks (optional)
Remote Eligibility
- United Kingdom
- Dublin
- Ireland
- Tokyo
- Japan
- United States
- New York
- Los Angeles
- Warsaw
- Poland
- London
- Boston