Safety Engineer
About the role
About ElevenLabs
ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors include Andreessen Horowitz, ICONIQ Growth and Sequoia.
How We Work
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results across the whole company.
- Excellence everywhere: Everything we do matches the quality of our AI models.
- Global team: We prioritize your talent, not your location.
What We Offer
- Innovative culture: Be part of a generational opportunity to define the trajectory of AI.
- Growth paths: Countless opportunities to drive impact beyond your immediate role.
- Learning & development: Annual discretionary stipend for professional development.
- Social travel: Annual discretionary stipend to meet with colleagues.
- Annual company offsite: Past offsites include Croatia and Italy.
- Co-working: Monthly co-working stipend if not near a main hub.
About the Role
We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring.
What You'll Do
- Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems.
- Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.
- Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks.
- Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite.
- Drive technical decisions and contribute vision to the safety roadmap for building next-generation platform guardrails at scale.
Requirements
- 6+ years of backend experience.