Safety Engineer (Backend Leaning)

What you’ll do

• Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products.
• Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks.
• Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.
• Bring ML models into production: 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.
• Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement.
• Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions.

• Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety.
• Legal: Translate legal and regulatory requirements into practical, scalable safety systems.
• Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints.
• Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow.

Requirements

• 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.

Bonus

• 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.

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

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We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.