Systems Safety Engineering and Analysis

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. 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.

We use AI to move faster with higher‑quality results. We do this across the whole company—from engineering to growth to operations.

Everything we do should match the quality of our AI models.

Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.

Social travel: 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, with a particular focus on detecting and preventing abuse of ElevenLabs’ free tiers. 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.

Design and build scalable backend infrastructure for abuse detection, 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

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.

Direct experience tackling free‑tier abuse, fraud detection, or fake‑account / bot farming at scale

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, backend frameworks)

Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines

Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems

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 (Kafka, Redis), or event‑driven architectures

Familiarity with React or modern frontend frameworks

This role is remote and can be executed globally. 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.

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