elevenlabs - Safety Engineer (Back-End Leaning)
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. • 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. • 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.
Responsibilities
• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. • Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. • Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. • Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. • 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.
Benefits
• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
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