# Safety Engineer

**Company**: ElevenLabs
**Location**: London
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $95,000–$150,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://elevenlabs.io/pl/careers/3b57cc5c-f019-4a0b-a5ff-e1046e4f1fa1/safety-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f72fed7c-cf8

## Description

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. 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 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 (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

Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production

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

## Skills

### Required
- backend software engineering
- distributed systems
- APIs
- data pipelines
- Python
- cloud platforms
- containerization
- CI/CD pipelines
- monitoring tools
- observable systems
- MLOps
- SQL
- data analysis tools
- real-time streaming systems
- event-driven architectures

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Source: [Apply at elevenlabs.io](https://elevenlabs.io/pl/careers/3b57cc5c-f019-4a0b-a5ff-e1046e4f1fa1/safety-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)