Overview
Build and operate the automated moderation, abuse detection and guardrail systems that keep ElevenLabs' AI products safe, with a backend-leaning engineering focus.
What you'll do
- Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs' products.
- Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails.
- Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.
- Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale.
- Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement.
- Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions.
- Understand and navigate the tradeoffs between product growth, user experience, and platform safety.
- Translate legal and regulatory requirements into practical, scalable safety systems.
- Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints.
- Contribute to architectural decisions and help define how the safety infrastructure evolves as products, users, and safety challenges grow.
What you'll need
- 5+ years of software engineering experience building and operating production systems.
- Strong backend engineering experience, including designing APIs, working with databases, and building scalable services.
- Proficiency in Python and experience with modern backend frameworks.
- Experience building and maintaining distributed systems and cloud-based applications.
- Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance.
- Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.
- Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.
- Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.
Nice to have
- Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.
- Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.
- Experience deploying and integrating ML models into production applications.
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
- Experience with monitoring and observability tools such as Prometheus and Grafana.
- Experience with React or other modern frontend frameworks.
- Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.
Details
- Remote role that can be executed globally.
- Optional work from ElevenLabs offices in London, New York, San Francisco, and Warsaw.
Read the full description and apply on the company’s own careers page.