Safety Engineer United Kingdom +7 more in London

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 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.

We have expanded from voice into three main platforms:

• ElevenAgents 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.
• ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
• ElevenAPI 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. If you want to work hard and create lasting positive impact, we want to hear from you.

How we work:

• 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.
• AI first: We use AI to move faster with higher-quality results.
• Excellence everywhere: Everything we do should match the quality of our AI models.
• Global team: We prioritise your talent, not your location.

What we offer:

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI.
• Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact.
• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
• Social travel: We provide an annual discretionary stipend to meet up with colleagues each year.
• Annual company offsite: Each year, we bring the entire team together in a new location.
• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

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. 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.

Requirements:

• 6+ years of backend software engineering experience building production systems at scale.
• Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise.
• Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines.
• Observability mindset with experience in monitoring tools and building observable systems.
• Track record of taking products or systems from 0→1 with measurable impact.

Bonus:

• Trust & Safety, Content Moderation, or Integrity engineering experience.
• MLOps experience: deployment, monitoring, and versioning of ML models.
• Experience with SQL, data analysis tools, real-time streaming systems, or event-driven architectures.
• Familiarity with React or modern frontend frameworks.

Location:

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