Safety Engineer

About Eleven Labs

Eleven Labs 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 are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always.

We have expanded from voice into three main platforms:

• Eleven Agents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
• Eleven Creative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
• Eleven
  
  API gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
• AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
• Excellence everywhere: Everything we do should match the quality of our AI models.
• Global team: We prioritize your talent, not your location.

• 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.
• Growth paths: Joining Eleven Labs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
• Learning & development
  :
  Eleven Labs 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.

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 to monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.

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 on how the next generation of platform guardrails should be built for scale and precision.

• 6+ years of backend software engineering experience building production systems at scale
• Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python,…